Supporting Online Material for

Size: px
Start display at page:

Download "Supporting Online Material for"

Transcription

1 Originally posted 16 September 2011; corrected 18 April Supporting Online Material for Faking Giants: The Evolution of High Prey Clearance Rates in Jellyfishes José Luis Acuña,* Ángel López-Urrutia, Sean Colin *To whom correspondence should be addressed. This PDF file includes: Materials and Methods SOM Text Figs. S1 to S3 Tables S1 to S8 References Published 16 September 2011, Science 333, 1627 (2011) DOI: /science Correction: The reference citations in the captions for tables S7 and S8 have been corrected.

2 Supporting Online Material Methods Data treatment and statistical analysis We have assumed that both respiration and clearance rates (Fig. 2, Tables S1-S2) vary with body size and temperature according to B=B 0 exp(-e a /kt)m b, where B stands for either clearance or respiration rate, B 0 is a scaling constant, E a is the activation energy, k is Boltzmann's constant (0, ev/ºk), T is the absolute temperature (in ºK), M is body size in either carbon or wet weight units and b is a scaling exponent (as done for respiration rates in ref. (23). The temperature range covered by our dataset is not large enough to test any possible differences in the temperature dependence of clearance and respiration rates between groups so an average value for Ea of 0.65 ev was assumed for all groups (23) corresponding to a Q10 value of Allometric regressions were performed on temperature-corrected rates, which were obtained by dividing the measured rates by exp(-e a /kt). There were no appropriate temperature data for the swimming velocities (Figs. 3A-B). Comparisons of log(respiration rates), log(clearance rates) and log(swimming velocities) among groups of organisms were done by means of the general linear model, with either log (body carbon) or log(wet weight) as covariate, taxonomic or functional group (i.e. fish, jellyfish, crustaceans or combinations of these) as factor and using the R statistical package (24). Heterogeneity of slopes was tested through the interaction between covariate and factor. When the slopes were not significantly heterogeneous, we proceeded to a test of significance of differences among intercepts, or ANCOVA. When the slopes were

3 heterogeneous, we searched the range of significant differences between regression lines using the Johnson- Neyman test. The appropriateness of a linear model should be assessed by analysis of the residuals. Inspection of the residuals of the linear fit against the independent variable might reveal non-linearities in the data or heterogeneity of variances. To test for these two effects we first inspected the residual plots (Fig. S1) for each of the linear model fits. We estimated the lowess fit of the residuals which in a correctly specified linear model should be close to zero. Deviations from zero might reveal secondary scaling in metabolic rates (25). Secondly, we calculated the Harvey-Collier statistic, which tests if the true relationship is not linear and the mean of the recursive residuals differs significantly from 0 (Table S4). Jellyfish respiration rate fits and the clearance rate fit with body carbon as a independent variable showed significant non-linearity. However, only in one case (Fig. S1) the curvilinearity was highly significant, probably due to an outlier, so, for simplicity, we used the linear model in all cases. Both the residual plots and the Breusch-Pagan test revealed heteroskedasticity in many of the datasets (Table S4). This might result in increased Type I error so analysis with marginally significant probabilities should be considered with caution. The use of non-parametric rank analysis of covariance on the same analysis as in Table S4 revealed, however, exactly the same patterns for all tests.

4 SOM Text Maximum clearance rates. Our compilation of clearance rates is extensive in including any experimental data regardless of the food concentration or the size of food provided during the experiments, so the linear models presented in figure 2 can be considered as representative of average conditions. This might lead to overestimation of the minimum threshold prey concentration, P H=0, if the organism is capable of increasing its clearance rate as a functional response to food scarcity or if only prey of the optimum size is considered. To provide a conservative estimate of the minimum threshold prey concentration, P H=0, we calculated the maximum attainable clearance rate for each group of organisms as the 95% quantile regression. This method using quantile regression has been shown to provide objective, reliable estimates of maximum attainable rates (26) and results in values close to or above the limited data available on maximum clearance rates for fish and cruising jellyfish (12) and copepods (27) (Figs. S2 and S3). Experimental maximum clearance rates for large jellyfish are lower than those of fish (Fig. S3) and lower than most of the data we compiled for large jellyfish. This is because those clearance rates were measured using small zooplankton as prey, while most of the observed clearance rates that lay above the maximum clearance rate line (Fig. S3B) were measured on much larger prey items [see ref. (28) for a detailed discussion]. Unfortunately, we lack sufficient experimental data on the combined effects of food concentration and size on maximum clearance rates of zooplankton. The estimates of the minimum threshold prey concentration, P H=0, for a fish, a jellyfish and a crustacean of average size carbon (0.0036, 0.068, and gc ind -1 respectively, geometric mean) using these 95%

5 quantile regressions are 1.84, 0.97 and 16.5 μg C L -1 compared to the central estimates of 13.7, 13.6 and μg C L -1, and represent the most conservative estimates of the food concentrations bellow which animals would starve even if all the food is within its optimal prey size. Derivation of the optimal velocity The threshold prey concentration can be found by setting H=0 and solving for P, what yields. P H=0 is a continuous function which reaches a minimum for an optimal velocity U opt. To find U opt, we first find. We then set and solve for U, arriving at equation 5. Considerations regarding the generality of the model A fixed C D ~0.45 is aproppriate for large A. aurita, which swim within a Reynolds number range between 500 and (see Table S8). Out of that range, a variable, velocity-dependent C D will be required (29). Moreover, while the cross body surface is appropriate for calculation of drag in bluff bodies, more streamlined objects (i.e., a fish) would require use of the wetted surface, due to the predominance of skin friction over pressure drag (29), what implies that term S would be different in equations 2 and 3. However, none of the changes mentioned should affect the qualitative response of equation 4 to changes in S or β when applied to organisms other than jellyfish.

6 Fig. S1: Residual versus independent variable plots for each of the linear model fits in Fig. 2. and 3A-B. Solid lines show the lowess fits. Fig. S2: Effects of body size (A: carbon units; B: wet weight) on temperature-corrected maximum clearance rates (see Table S6 for sources) of ambush feeding fish (blue), cruising jellyfish (red) and copepods (black). Fig. S3: Comparison of the relationships obtained in Figure S2 between temperature-corrected maximum clearance rates and body size in carbon units and the temperature corrected clearance rates compiled in the present study for visually feeding fish (A),cruising jellyfish (B) and crustacean zooplankton (C). Thick solid lines represent the relationships obtained in Figure S2. Dotted lines represent the linear models as presented in Figure 2. Dashed lines show the 95% quantile regression on the clearance rate database.

7 Table S1. Clearance rates of marine pelagic organisms. Data were extracted from tables or digitized from figures reported in the original papers (Source). Columns show clearance rate in liters per day (Clearance), temperature in degrees celsius (Temp), body size in grams of wet weight (WW), grams of dry weight (DW) or grams of carbon (CW). When body mass was not given in these three units in the orginal paper, it was converted as indicated under column Note. The functional types are: jellyfish (J), searching fish (SF), filter feeding fish (FF, not included in the analysis) and crustaceans (C). Ambush jellyfish and ephirae were not included in the analysis. # Species functional type Clearance Temp WW DW Carbon Note Source 1 Engraulis capensis FF 2.79E E E E (30) 2 Engraulis capensis FF 3.72E E E E (30) 3 Engraulis capensis FF 4.19E E E E (30) 4 Engraulis capensis FF 5.79E E E E (30) 5 Engraulis capensis FF 4.81E E E E (30) 6 Engraulis capensis FF 1.33E E E E (30) 7 Engraulis capensis FF 8.77E E E E (30) 8 Engraulis capensis FF 1.77E E E E (30) 9 Engraulis capensis FF 2.66E E E E (30) 10 Engraulis capensis FF 3.32E E E E (30) 11 Engraulis capensis FF 2.66E E E E (30) 12 Engraulis capensis FF 1.99E E E E (30) 13 Engraulis capensis FF 3.28E E E E (30) 14 Engraulis capensis FF 1.25E E E E (30) 15 Engraulis capensis FF 9.62E E E E (30) 16 Engraulis capensis SF 4.20E E E E (30) 17 Engraulis capensis SF 9.96E E E E (30) 18 Engraulis capensis SF 2.04E E E E (30) 19 Engraulis capensis SF 3.18E E E E (30) 20 Engraulis capensis SF 7.07E E E E (30) 21 Engraulis capensis SF 4.33E E E E (30) 22 Engraulis capensis SF 1.01E E E E (30) 23 Engraulis capensis SF 6.97E E E E (30) 24 Engraulis capensis SF 1.93E E E E (30) 25 Engraulis capensis SF 6.12E E E E (30) 26 Engraulis capensis SF 1.24E E E E (30) 27 Engraulis capensis SF 6.32E E E E (30) 28 Engraulis capensis SF 1.68E E E E (30) 29 Engraulis capensis SF 1.12E E E E (30) 30 Engraulis capensis SF 4.07E E E E (30) 31 Engraulis capensis SF 1.90E E E E (30) 32 Engraulis capensis SF 6.07E E E E (30) 33 Engraulis capensis SF 1.12E E E E (30) 34 Engraulis capensis SF 1.70E E E E (30) 35 Engraulis capensis SF 3.07E E E E (30)

8 36 Sardina pilchardus FF 1.15E E E E (31) 37 Sardina pilchardus FF 1.15E E E E (31) 38 Sardina pilchardus FF 1.15E E E E (31) 39 Sardina pilchardus FF 1.15E E E E (31) 40 Sardina pilchardus FF 5.18E E E E (31) 41 Sardina pilchardus FF 5.18E E E E (31) 42 Sardina pilchardus FF 5.18E E E E (31) 43 Sardina pilchardus FF 5.18E E E E (31) 44 Sardina pilchardus FF 5.18E E E E (31) 45 Sardina pilchardus SF 9.50E E E E (31) 46 Sardina pilchardus SF 1.47E E E E (31) 47 Sardina pilchardus SF 9.50E E E E (31) 48 Sardina pilchardus SF 7.30E E E E (31) 49 Sardina pilchardus SF 1.64E E E E (31) 50 Sardina pilchardus SF 6.05E E E E (31) 51 Sardina pilchardus SF 3.50E E E E (31) 52 Sardinops sagax FF 4.22E E E E (32) 53 Sardinops sagax FF 7.83E E E E (32) 54 Sardinops sagax FF 3.32E E E E (32) 55 Sardinops sagax FF 6.22E E E E (32) 56 Sardinops sagax FF 6.04E E E E (32) 57 Sardinops sagax FF 6.40E E E E (32) 58 Sardinops sagax FF 6.03E E E E (32) 59 Sardinops sagax FF 7.66E E E E (32) 60 Sardinops sagax FF 9.48E E E E (32) 61 Sardinops sagax FF 1.06E E E E (32) 62 Sardinops sagax FF 1.15E E E E (32) 63 Sardinops sagax FF 1.26E E E E (32) 64 Sardinops sagax FF 1.27E E E E (32) 65 Sardinops sagax FF 1.38E E E E (32) 66 Sardinops sagax FF 1.87E E E E (32) 67 Sardinops sagax FF 1.38E E E E (32) 68 Sardinops sagax FF 1.67E E E E (32) 69 Sardinops sagax FF 1.80E E E E (32) 70 Sardinops sagax FF 1.89E E E E (32) 71 Sardinops sagax FF 3.63E E E E (32) 72 Sardinops sagax FF 3.49E E E E (32) 73 Sardinops sagax FF 2.80E E E E (32) 74 Sardinops sagax FF 2.71E E E E (32) 75 Sardinops sagax FF 2.54E E E E (32) 76 Sardinops sagax FF 2.36E E E E (32) 77 Sardinops sagax FF 2.29E E E E (32) 78 Sardinops sagax FF 2.14E E E E (32) 79 Sardinops sagax FF 2.11E E E E (32) 80 Sardinops sagax FF 1.89E E E E (32) 81 Sardinops sagax FF 1.74E E E E (32) 82 Sardinops sagax FF 1.69E E E E (32) 83 Sardinops sagax FF 1.69E E E E (32) 84 Sardinops sagax FF 1.53E E E E (32) 85 Sardinops sagax FF 1.38E E E E (32)

9 86 Sardinops sagax FF 1.22E E E E (32) 87 Sardinops sagax FF 1.09E E E E (32) 88 Sardinops sagax FF 9.82E E E E (32) 89 Sardinops sagax FF 8.37E E E E (32) 90 Sardinops sagax FF 7.29E E E E (32) 91 Sardinops sagax FF 1.00E E E E (32) 92 Sardinops sagax FF 1.11E E E E (32) 93 Sardinops sagax FF 1.20E E E E (32) 94 Sardinops sagax FF 1.36E E E E (32) 95 Sardinops sagax FF 1.44E E E E (32) 96 Sardinops sagax FF 6.92E E E E (32) 97 Sardinops sagax FF 8.19E E E E (32) 98 Sardinops sagax FF 9.09E E E E (32) 99 Sardinops sagax FF 9.82E E E E (32) 100 Sardinops sagax FF 1.11E E E E (32) 101 Sardinops sagax FF 1.20E E E E (32) 102 Sardinops sagax FF 5.82E E E E (32) 103 Sardinops sagax FF 6.54E E E E (32) 104 Sardinops sagax FF 7.27E E E E (32) 105 Sardinops sagax FF 7.45E E E E (32) 106 Sardinops sagax FF 8.90E E E E (32) 107 Sardinops sagax FF 1.07E E E E (32) 108 Sardinops sagax FF 1.16E E E E (32) 109 Sardinops sagax FF 1.27E E E E (32) 110 Sardinops sagax FF 1.27E E E E (32) 111 Sardinops sagax FF 1.29E E E E (32) 112 Sardinops sagax FF 1.38E E E E (32) 113 Sardinops sagax FF 1.56E E E E (32) 114 Sardinops sagax FF 1.78E E E E (32) 115 Sardinops sagax FF 1.94E E E E (32) 116 Sardinops sagax FF 1.89E E E E (32) 117 Sardinops sagax FF 1.81E E E E (32) 118 Sardinops sagax FF 1.69E E E E (32) 119 Sardinops sagax FF 1.56E E E E (32) 120 Sardinops sagax FF 1.36E E E E (32) 121 Sardinops sagax FF 1.27E E E E (32) 122 Sardinops sagax FF 1.22E E E E (32) 123 Sardinops sagax FF 9.80E E E E (32) 124 Sardinops sagax FF 1.05E E E E (32) 125 Sardinops sagax FF 9.07E E E E (32) 126 Sardinops sagax FF 8.16E E E E (32) 127 Sardinops sagax FF 2.52E E E E (32) 128 Sardinops sagax FF 2.63E E E E (32) 129 Sardinops sagax FF 2.85E E E E (32) 130 Sardinops sagax FF 3.08E E E E (32) 131 Sardinops sagax FF 3.32E E E E (32) 132 Sardinops sagax FF 3.81E E E E (32) 133 Sardinops sagax FF 3.81E E E E (32) 134 Sardinops sagax FF 4.41E E E E (32) 135 Sardinops sagax FF 2.36E E E E (32)

10 136 Sardinops sagax FF 2.19E E E E (32) 137 Sardinops sagax FF 2.10E E E E (32) 138 Sardinops sagax FF 2.07E E E E (32) 139 Sardinops sagax FF 1.80E E E E (32) 140 Sardinops sagax FF 1.69E E E E (32) 141 Sardinops sagax FF 1.58E E E E (32) 142 Sardinops sagax FF 1.54E E E E (32) 143 Sardinops sagax FF 1.43E E E E (32) 144 Sardinops sagax FF 1.38E E E E (32) 145 Sardinops sagax FF 1.34E E E E (32) 146 Sardinops sagax FF 1.61E E E E (32) 147 Sardinops sagax FF 1.69E E E E (32) 148 Sardinops sagax FF 1.80E E E E (32) 149 Sardinops sagax FF 9.97E E E E (32) 150 Sardinops sagax FF 1.14E E E E (32) 151 Sardinops sagax FF 1.29E E E E (32) 152 Sardinops sagax FF 1.45E E E E (32) 153 Sardinops sagax FF 1.49E E E E (32) 154 Sardinops sagax FF 1.34E E E E (32) 155 Sardinops sagax FF 1.23E E E E (32) 156 Sardinops sagax FF 9.60E E E E (32) 157 Sardinops sagax FF 1.76E E E E (32) 158 Sardinops sagax FF 1.96E E E E (32) 159 Sardinops sagax FF 1.98E E E E (32) 160 Sardinops sagax FF 2.07E E E E (32) 161 Sardinops sagax FF 2.10E E E E (32) 162 Sardinops sagax FF 2.14E E E E (32) 163 Sardinops sagax FF 2.21E E E E (32) 164 Sardinops sagax FF 2.38E E E E (32) 165 Sardinops sagax FF 2.50E E E E (32) 166 Sardinops sagax FF 2.30E E E E (32) 167 Sardinops sagax FF 2.48E E E E (32) 168 Sardinops sagax FF 2.36E E E E (32) 169 Sardinops sagax FF 2.66E E E E (32) 170 Sardinops sagax FF 2.72E E E E (32) 171 Sardinops sagax FF 1.81E E E E (32) 172 Sardinops sagax FF 1.79E E E E (32) 173 Sardinops sagax FF 3.10E E E E (32) 174 Sardinops sagax FF 3.19E E E E (32) 175 Sardinops sagax FF 3.08E E E E (32) 176 Sardinops sagax FF 3.34E E E E (32) 177 Sardinops sagax FF 3.61E E E E (32) 178 Sardinops sagax FF 4.71E E E E (32) 179 Sardinops sagax FF 4.79E E E E (32) 180 Sardinops sagax FF 5.39E E E E (32) 181 Sardinops sagax SF 3.72E E E E (32) 182 Sardinops sagax SF 3.57E E E E (32) 183 Sardinops sagax SF 3.66E E E E (32) 184 Sardinops sagax SF 2.57E E E E (32) 185 Sardinops sagax SF 4.46E E E E (32)

11 186 Sardinops sagax SF 5.15E E E E (32) 187 Sardinops sagax SF 5.26E E E E (32) 188 Sardinops sagax SF 5.49E E E E (32) 189 Sardinops sagax SF 5.33E E E E (32) 190 Sardinops sagax SF 5.49E E E E (32) 191 Sardinops sagax SF 6.00E E E E (32) 192 Sardinops sagax SF 6.58E E E E (32) 193 Sardinops sagax SF 6.98E E E E (32) 194 Sardinops sagax SF 8.43E E E E (32) 195 Sardinops sagax SF 8.47E E E E (32) 196 Sardinops sagax SF 8.92E E E E (32) 197 Sardinops sagax SF 8.57E E E E (32) 198 Sardinops sagax SF 6.10E E E E (32) 199 Sardinops sagax SF 4.94E E E E (32) 200 Sardinops sagax SF 4.58E E E E (32) 201 Sardinops sagax SF 3.48E E E E (32) 202 Anchoa mitchilli SF 1.51E E E E-06 4 (33) 203 Anchoa mitchilli SF 2.87E E E E-06 4 (33) 204 Anchoa mitchilli SF 4.60E E E E-06 4 (33) 205 Anchoa mitchilli SF 6.70E E E E-06 4 (33) 206 Anchoa mitchilli SF 1.17E E E E-05 4 (33) 207 Anchoa mitchilli SF 1.77E E E E-05 4 (33) 208 Anchoa mitchilli SF 2.49E E E E-05 4 (33) 209 Anchoa mitchilli SF 3.08E E E E-06 4 (33) 210 Anchoa mitchilli SF 5.73E E E E-06 4 (33) 211 Anchoa mitchilli SF 8.74E E E E-06 4 (33) 212 Anchoa mitchilli SF 3.06E E E E-05 4 (33) 213 Anchoa mitchilli SF 4.72E E E E-05 4 (33) 214 Anchoa mitchilli SF 6.76E E E E-05 4 (33) 215 Anchoa mitchilli SF 9.00E E E E-05 4 (33) 216 Anchoa mitchilli SF 1.82E E E E-05 4 (33) 217 Anchoa mitchilli SF 3.18E E E E-06 4 (33) 218 Anchoa mitchilli SF 9.22E E E E-06 4 (33) 219 Anchoa mitchilli SF 1.98E E E E-05 4 (33) 220 Anchoa mitchilli SF 3.79E E E E-05 4 (33) 221 Anchoa mitchilli SF 5.92E E E E-05 4 (33) 222 Anchoa mitchilli SF 8.57E E E E-05 4 (33) 223 Anchoa mitchilli SF 1.24E E E E-05 4 (33) 224 rhomboidalis SF 2.60E E E E-06 4 (33) 225 rhomboidalis SF 4.16E E E E-06 4 (33) 226 rhomboidalis SF 5.81E E E E-06 4 (33) 227 rhomboidalis SF 9.80E E E E-05 4 (33) 228 rhomboidalis SF 1.46E E E E-05 4 (33) 229 rhomboidalis SF 1.37E E E E-05 4 (33) 230 rhomboidalis SF 2.21E E E E-05 4 (33)

12 231 rhomboidalis SF 3.62E E E E-05 4 (33) 232 rhomboidalis SF 5.42E E E E-05 4 (33) 233 rhomboidalis SF 7.83E E E E-05 4 (33) 234 rhomboidalis SF 2.78E E E E-06 4 (33) 235 rhomboidalis SF 5.72E E E E-06 4 (33) 236 rhomboidalis SF 9.34E E E E-06 4 (33) 237 rhomboidalis SF 1.44E E E E-05 4 (33) 238 rhomboidalis SF 2.09E E E E-05 4 (33) 239 rhomboidalis SF 2.72E E E E-05 4 (33) 240 rhomboidalis SF 3.40E E E E-05 4 (33) 241 Achirus lineatus SF 2.12E E E E-06 4 (33) 242 Achirus lineatus SF 3.90E E E E-06 4 (33) 243 Achirus lineatus SF 5.86E E E E-05 4 (33) 244 Achirus lineatus SF 7.93E E E E-05 4 (33) 245 Achirus lineatus SF 1.01E E E E-05 4 (33) 246 Achirus lineatus SF 5.14E E E E-06 4 (33) 247 Achirus lineatus SF 7.70E E E E-06 4 (33) 248 Achirus lineatus SF 1.21E E E E-05 4 (33) 249 Achirus lineatus SF 1.65E E E E-05 4 (33) 250 Achirus lineatus SF 2.16E E E E-05 4 (33) 251 Achirus lineatus SF 2.88E E E E-05 4 (33) 252 Achirus lineatus SF 3.59E E E E-05 4 (33) 253 Achirus lineatus SF 5.80E E E E-06 4 (33) 254 Achirus lineatus SF 9.44E E E E-06 4 (33) 255 Achirus lineatus SF 2.04E E E E-05 4 (33) 256 Achirus lineatus SF 2.91E E E E-05 4 (33) 257 Achirus lineatus SF 4.07E E E E-05 4 (33) 258 rhomboidalis SF 3.45E E E E-06 4 (34) 259 rhomboidalis SF 4.15E E E E-06 4 (34) 260 rhomboidalis SF 7.33E E E E-06 4 (34) 261 rhomboidalis SF 6.80E E E E-06 4 (34) 262 rhomboidalis SF 1.27E E E E-06 4 (34) 263 rhomboidalis SF 1.04E E E E-05 4 (34) 264 rhomboidalis SF 4.91E E E E-05 4 (34) 265 rhomboidalis SF 5.50E E E E-05 4 (34) 266 SF 1.05E E E E-05 4 (34)

13 rhomboidalis 267 rhomboidalis SF 6.42E E E E-05 4 (34) 268 rhomboidalis SF 5.39E E E E-05 4 (34) 269 rhomboidalis SF 7.17E E E E-05 4 (34) 270 rhomboidalis SF 5.45E E E E-05 4 (34) 271 rhomboidalis SF 1.37E E E E-05 4 (34) 272 rhomboidalis SF 1.69E E E E-05 4 (34) 273 rhomboidalis SF 2.31E E E E-04 4 (34) 274 rhomboidalis SF 1.76E E E E-04 4 (34) 275 rhomboidalis SF 2.18E E E E-04 4 (34) 276 rhomboidalis SF 4.91E E E E-04 4 (34) 277 rhomboidalis SF 4.86E E E E-04 4 (34) 278 rhomboidalis SF 1.13E E E E-06 4 (34) 279 rhomboidalis SF 2.10E E E E-06 4 (34) 280 rhomboidalis SF 5.18E E E E-06 4 (34) 281 rhomboidalis SF 5.39E E E E-06 4 (34) 282 rhomboidalis SF 1.02E E E E-06 4 (34) 283 rhomboidalis SF 7.01E E E E-06 4 (34) 284 rhomboidalis SF 1.11E E E E-06 4 (34) 285 rhomboidalis SF 7.87E E E E-05 4 (34) 286 rhomboidalis SF 4.91E E E E-05 4 (34) 287 rhomboidalis SF 8.95E E E E-05 4 (34) 288 rhomboidalis SF 1.07E E E E-05 4 (34) 289 rhomboidalis SF 1.15E E E E-05 4 (34) 290 rhomboidalis SF 1.35E E E E-05 4 (34) 291 rhomboidalis SF 8.84E E E E-05 4 (34) 292 rhomboidalis SF 1.18E E E E-05 4 (34) 293 rhomboidalis SF 1.14E E E E-05 4 (34) 294 SF 2.18E E E E-05 4 (34)

14 rhomboidalis 295 rhomboidalis SF 3.77E E E E-04 4 (34) 296 rhomboidalis SF 3.13E E E E-06 4 (34) 297 rhomboidalis SF 1.67E E E E-06 4 (34) 298 rhomboidalis SF 6.47E E E E-06 4 (34) 299 rhomboidalis SF 1.13E E E E-06 4 (34) 300 rhomboidalis SF 5.88E E E E-06 4 (34) 301 rhomboidalis SF 5.45E E E E-06 4 (34) 302 rhomboidalis SF 3.29E E E E-05 4 (34) 303 rhomboidalis SF 2.16E E E E-05 4 (34) 304 rhomboidalis SF 1.73E E E E-05 4 (34) 305 rhomboidalis SF 3.45E E E E-05 4 (34) 306 rhomboidalis SF 4.48E E E E-05 4 (34) 307 rhomboidalis SF 5.66E E E E-05 4 (34) 308 rhomboidalis SF 7.66E E E E-05 4 (34) 309 rhomboidalis SF 6.47E E E E-05 4 (34) 310 rhomboidalis SF 9.11E E E E-05 4 (34) 311 rhomboidalis SF 4.64E E E E-05 4 (34) 312 rhomboidalis SF 6.31E E E E-05 4 (34) 313 rhomboidalis SF 1.41E E E E-05 4 (34) 314 rhomboidalis SF 1.32E E E E-05 4 (34) 315 Brevoortia tyrannus FF 2.91E E E E (35) 316 Brevoortia tyrannus FF 2.95E E E E (35) 317 Brevoortia tyrannus FF 3.83E E E E (35) 318 Brevoortia tyrannus FF 4.62E E E E (35) 319 Scomber scombrus SF 2.62E E E E (36) 320 Scomber scombrus SF 2.76E E E E (36) 321 Scomber scombrus SF 1.71E E E E (36) 322 Scomber scombrus SF 2.91E E E E (36) 323 Scomber scombrus SF 1.08E E E E (36) 324 Scomber scombrus SF 9.07E E E E (36) 325 Scomber scombrus FF 3.17E E E E (36) 326 Scomber scombrus FF 6.05E E E E (36) 327 Scomber scombrus FF 6.48E E E E (36)

15 328 Scomber scombrus FF 7.34E E E E (36) 329 Scomber scombrus FF 7.49E E E E (36) 330 Scomber scombrus FF 8.93E E E E (36) 331 Scomber scombrus FF 1.02E E E E (36) 332 Scomber scombrus FF 1.14E E E E (36) 333 Scomber scombrus FF 1.27E E E E (36) 334 Scomber scombrus FF 3.17E E E E (36) 335 Scomber scombrus FF 4.18E E E E (36) 336 Scomber scombrus FF 3.17E E E E (36) 337 Scomber scombrus FF 1.15E E E E (36) 338 Scomber scombrus FF 3.46E E E E (36) 339 Scomber scombrus FF 1.73E E E E (36) 340 Scomber scombrus FF 3.60E E E E (36) 341 Scomber scombrus FF 3.60E E E E (36) 342 Scomber scombrus FF 3.02E E E E (36) 343 Alosa pseudoharengus SF 2.81E E E E (37) 344 Alosa pseudoharengus SF 3.97E E E E (37) 345 Alosa pseudoharengus SF 5.40E E E E (37) 346 Alosa pseudoharengus SF 2.47E E E E (37) 347 Alosa pseudoharengus SF 1.36E E E E (37) 348 Alosa pseudoharengus SF 1.44E E E E (37) 349 Alosa pseudoharengus SF 5.18E E E E (37) 350 Alosa pseudoharengus SF 3.72E E E E (37) 351 Alosa pseudoharengus SF 8.96E E E E (37) 352 Alosa pseudoharengus SF 6.93E E E E (37) 353 Alosa pseudoharengus SF 4.46E E E E (37) 354 Alosa pseudoharengus SF 7.69E E E E (37) 355 Alosa pseudoharengus SF 7.02E E E E (37) 356 Alosa pseudoharengus SF 2.33E E E E (37) 357 Alosa pseudoharengus SF 3.45E E E E (37) 358 Alosa pseudoharengus SF 5.61E E E E (37) 359 Alosa pseudoharengus SF 4.48E E E E (37) 360 Alosa pseudoharengus SF 3.30E E E E (37) 361 Alosa pseudoharengus SF 2.59E E E E (37) 362 Alosa pseudoharengus SF 2.88E E E E (37) 363 Alosa pseudoharengus SF 1.62E E E E (37) 364 Alosa pseudoharengus SF 2.00E E E E (37) 365 Alosa pseudoharengus SF 1.74E E E E (37) 366 Alosa pseudoharengus SF 1.14E E E E (37) 367 Coregonus hoyi SF 1.02E E E E (37) 368 Coregonus hoyi SF 1.51E E E E (37) 369 Coregonus hoyi SF 2.78E E E E (37) 370 Coregonus hoyi SF 9.31E E E E (37) 371 Coregonus hoyi SF 1.02E E E E (37) 372 Coregonus hoyi SF 4.52E E E E (37) 373 Coregonus hoyi SF 3.83E E E E (37) 374 Coregonus hoyi SF 2.92E E E E (37) 375 Coregonus hoyi SF 2.35E E E E (37) 376 Coregonus hoyi SF 2.52E E E E (37) 377 Coregonus hoyi SF 6.73E E E E (37)

16 378 Coregonus hoyi SF 9.48E E E E (37) 379 Coregonus hoyi SF 1.48E E E E (37) 380 Coregonus hoyi SF 7.87E E E E (37) 381 Coregonus hoyi SF 2.99E E E E (37) 382 Coregonus hoyi SF 5.10E E E E (37) 383 Coregonus hoyi SF 8.90E E E E (37) 384 Coregonus hoyi SF 3.41E E E E (37) 385 Coregonus hoyi SF 8.66E E E E (37) 386 Coregonus hoyi SF 1.41E E E E (37) 387 Coregonus hoyi SF 5.84E E E E (37) 388 Coregonus hoyi SF 3.89E E E E (37) 389 Coregonus hoyi SF 2.62E E E E (37) 390 Coregonus hoyi SF 1.67E E E E (37) 391 Coregonus hoyi SF 2.99E E E E (37) 392 Coregonus hoyi SF 4.71E E E E (37) 393 Coregonus hoyi SF 2.15E E E E (37) 394 Coregonus hoyi SF 2.44E E E E (37) 395 Coregonus hoyi SF 2.46E E E E (37) 396 Coregonus hoyi SF 1.54E E E E (37) 397 Coregonus hoyi SF 1.21E E E E (37) 398 Coregonus hoyi SF 8.96E E E E (37) 399 Coregonus hoyi SF 6.87E E E E (37) 400 Perca flavescens SF 3.92E E E E (37) 401 Perca flavescens SF 7.93E E E E (37) 402 Perca flavescens SF 6.66E E E E (37) 403 Perca flavescens SF 2.33E E E E (37) 404 Perca flavescens SF 1.51E E E E (37) 405 Perca flavescens SF 9.51E E E E (37) 406 Perca flavescens SF 1.46E E E E (37) 407 Perca flavescens SF 1.11E E E E (37) 408 Perca flavescens SF 5.62E E E E (37) 409 Perca flavescens SF 5.56E E E E (37) 410 Perca flavescens SF 2.79E E E E (37) 411 Perca flavescens SF 6.50E E E E (37) 412 Perca flavescens SF 1.84E E E E (37) 413 Perca flavescens SF 1.42E E E E (37) 414 Perca flavescens SF 6.20E E E E (37) 415 Perca flavescens SF 2.30E E E E (37) 416 Perca flavescens SF 1.16E E E E (37) 417 Perca flavescens SF 2.15E E E E (37) 418 Perca flavescens SF 8.69E E E E (37) 419 Aurelia aurita J 4.57E E E E (38) 420 Aurelia aurita J 2.51E E E E (38) 421 Aurelia aurita J 3.54E E E E (38) 422 Aurelia aurita J 5.63E E E E (38) 423 Aurelia aurita J 1.62E E E E (38) 424 Aurelia aurita J 1.65E E E E (38) 425 Aurelia aurita J 5.88E E E E (38) 426 Aurelia aurita J 7.82E E E E (38) 427 Aurelia aurita J 7.83E E E E (38)

17 428 Aurelia aurita J 2.19E E E E (38) 429 Aurelia aurita J 1.80E E E E (38) 430 Aurelia aurita J 2.73E E E E (38) 431 Aurelia aurita J 4.52E E E E (38) 432 Aurelia aurita J 4.38E E E E (38) 433 Aurelia aurita J 1.86E E E E (38) 434 Aurelia aurita J 2.35E E E E (38) 435 Aurelia aurita J 2.37E E E E (38) 436 Aurelia aurita J 1.91E E E E (38) 437 Aurelia aurita J 2.16E E E E (38) 438 Aurelia aurita J 3.78E E E E (38) 439 Aurelia aurita J 2.97E E E E (38) 440 Aurelia aurita J 3.38E E E E (38) 441 Aurelia aurita J 3.88E E E E (38) 442 Aurelia aurita J 3.97E E E E (38) 443 Aurelia aurita J 4.28E E E E (38) 444 Aurelia aurita J 2.06E E E E-03 8 (39) 445 Aurelia aurita J 1.69E E E E-03 8 (39) 446 Aurelia aurita J 1.31E E E E-03 8 (39) 447 Aurelia aurita J 9.87E E E E-03 8 (39) 448 Aurelia aurita J 7.45E E E E-03 8 (39) 449 Aurelia aurita J 5.31E E E E-03 8 (39) 450 Aurelia aurita J 4.61E E E E-03 8 (39) 451 Aurelia aurita J 9.68E E E E-02 8 (39) 452 Aurelia aurita J 1.15E E E E-02 8 (39) 453 Aurelia aurita J 1.90E E E E-02 8 (39) 454 Aurelia aurita J 2.13E E E E-02 8 (39) 455 Aurelia aurita J 1.75E E E E-01 8 (39) 456 Aurelia aurita J 1.65E E E E-02 8 (39) 457 Aurelia aurita J 1.43E E E E-01 8 (39) 458 Aurelia aurita J 1.39E E E E-01 8 (39) 459 Aurelia aurita J 1.08E E E E-01 8 (39) 460 Aurelia aurita J 1.56E E E E-01 8 (39) 461 Aurelia aurita J 2.52E E E E-01 8 (39) 462 Aurelia aurita J 2.51E E E E-01 8 (39) 463 Aurelia aurita J 5.71E E E E-01 8 (39) 464 Aurelia aurita J 5.28E E E E-03 8 (28) 465 Aurelia aurita J 3.74E E E E-03 8 (28) 466 Aurelia aurita J 1.82E E E E-03 8 (28) 467 Aurelia aurita J 7.20E E E E-03 8 (28) 468 Aurelia aurita J 1.87E E E E-03 8 (28) 469 Aurelia aurita J 2.88E E E E-02 8 (28) 470 Aurelia aurita J 2.28E E E E-02 8 (28) 471 Aurelia aurita J 2.35E E E E-02 8 (28) 472 Aurelia aurita J 2.88E E E E-04 8 (28) 473 Aurelia aurita J 1.32E E E E-04 8 (28) 474 Aurelia aurita J 5.28E E E E-04 8 (28) 475 Aurelia aurita J 4.87E E E E-04 8 (28) 476 Aurelia aurita J 1.27E E E E-04 8 (28) 477 Aurelia aurita J 1.38E E E E-02 8 (28)

18 478 Aurelia aurita J 2.40E E E E-03 8 (28) 479 Cyanea capillata J 6.22E E E E (28) 480 Staurophora mertensi J 1.10E E E E-02 7 (28) 481 Aurelia aurita J 3.09E E E E-02 8 (28) 482 Aurelia aurita J 2.57E E E E-02 8 (28) 483 Aurelia aurita J 1.65E E E E-02 8 (28) 484 Aurelia aurita J 3.57E E E E-02 8 (28) 485 Aurelia aurita J 1.40E E E E-02 8 (28) 486 Aurelia aurita J 1.76E E E E-02 8 (28) 487 Aurelia aurita J 1.12E E E E-03 8 (28) 488 Aurelia aurita J 2.77E E E E-03 8 (28) 489 Aurelia aurita J 2.56E E E E-03 8 (28) 490 Aurelia aurita J 1.37E E E E-02 8 (28) 491 Aurelia aurita J 1.00E E E E-02 8 (28) 492 Aurelia aurita J 1.98E E E E-02 8 (28) 493 Aurelia aurita J 3.02E E E E-02 8 (28) 494 Aurelia aurita J 3.18E E E E-02 8 (28) 495 Aurelia aurita J 4.81E E E E-02 8 (28) 496 Aurelia aurita J 4.32E E E E-02 8 (28) 497 Aurelia aurita J 4.74E E E E-02 8 (28) 498 Aurelia aurita J 6.30E E E E-02 8 (28) 499 Aurelia aurita J 4.30E E E E-02 8 (28) 500 Aurelia aurita J 3.60E E E E-02 8 (28) 501 Aurelia aurita J 3.51E E E E-02 8 (28) 502 Aurelia aurita J 5.39E E E E-02 8 (28) 503 Aurelia aurita J 8.65E E E E-02 8 (28) 504 Aurelia aurita J 4.88E E E E-03 8 (28) 505 Aurelia aurita J 1.16E E E E-03 8 (28) 506 Aurelia aurita J 1.60E E E E-03 8 (28) 507 Aurelia aurita J 5.11E E E E-03 8 (28) 508 Aurelia aurita J 6.28E E E E-03 8 (28) 509 Aurelia aurita J 1.67E E E E-03 8 (28) 510 Aurelia aurita J 1.79E E E E-03 8 (28) 511 Aurelia aurita J 2.65E E E E-02 8 (28) 512 Aurelia aurita J 2.91E E E E-02 8 (28) 513 Aurelia aurita J 3.42E E E E-02 8 (28) 514 Aurelia aurita J 3.18E E E E-02 8 (28) 515 Aurelia aurita J 2.25E E E E-02 8 (28) 516 Aurelia aurita J 2.32E E E E-02 8 (28) 517 Aurelia aurita J 2.05E E E E-02 8 (28) 518 Aurelia aurita J 3.65E E E E-02 8 (28) 519 Aurelia aurita J 4.21E E E E-02 8 (28) 520 Aurelia aurita J 4.42E E E E-02 8 (28) 521 Aurelia aurita J 4.81E E E E-02 8 (28) 522 Aurelia aurita J 5.67E E E E-02 8 (28) 523 Aurelia aurita J 8.79E E E E-01 8 (28) 524 Aurelia aurita J 1.84E E E E-03 6 (40) 525 Aurelia aurita J 4.17E E E E-03 6 (40) 526 Aurelia aurita J 2.32E E E E-03 6 (40) 527 Aurelia aurita J 1.89E E E E-03 6 (40)

19 528 Aurelia aurita J 1.67E E E E-03 6 (40) 529 Aurelia aurita J 2.02E E E E-03 6 (40) 530 Aurelia aurita J 2.75E E E E-03 6 (40) 531 Aurelia aurita J 2.54E E E E-03 6 (40) 532 Aurelia aurita J 1.84E E E E-03 6 (40) 533 Aurelia aurita J 2.60E E E E-03 6 (40) 534 Aurelia aurita J 2.50E E E E-02 6 (40) 535 Aurelia aurita J 2.18E E E E-02 6 (40) 536 Aurelia aurita J 2.58E E E E-02 6 (40) 537 Aurelia aurita J 2.56E E E E-02 6 (40) 538 Aurelia aurita J 2.78E E E E-02 6 (40) 539 Aurelia aurita J 2.39E E E E-02 6 (40) 540 Aurelia aurita J 2.14E E E E-02 6 (40) 541 Aurelia aurita J 2.58E E E E-02 6 (40) 542 Aurelia aurita J 2.37E E E E-02 6 (40) 543 Aurelia aurita J 2.36E E E E-02 6 (40) 544 Aurelia aurita J 2.57E E E E-02 6 (40) 545 Aurelia aurita J 3.30E E E E-02 6 (40) 546 Aurelia aurita J 2.38E E E E-02 6 (40) 547 Aurelia aurita J 2.76E E E E-02 6 (40) 548 Aurelia aurita J 2.61E E E E-02 6 (40) 549 Aurelia aurita J 8.26E E E E (41) 550 Aurelia aurita J 7.86E E E E (41) 551 Aurelia aurita J 8.63E E E E (41) 552 Aurelia aurita J 7.57E E E E (41) 553 Aurelia aurita J 2.80E E E E (41) 554 Aurelia aurita J 1.60E E E E (41) 555 Aurelia aurita J 1.14E E E E (41) 556 Aurelia aurita J 1.15E E E E (41) 557 Aurelia aurita J 1.48E E E E (41) 558 Aurelia aurita J 1.49E E E E (41) 559 Aurelia aurita J 5.63E E E E (41) 560 Aurelia aurita J 3.71E E E E (41) 561 Aurelia aurita J 2.74E E E E (41) 562 Aurelia aurita J 4.17E E E E (41) 563 Aurelia aurita J 3.43E E E E (41) 564 Aurelia aurita J 6.18E E E E (41) 565 Aurelia aurita J 1.53E E E E (41) 566 Aurelia aurita J 1.69E E E E (41) 567 Aurelia aurita J 1.54E E E E (41) 568 Aurelia aurita J 2.32E E E E (41) 569 Aurelia aurita J 3.45E E E E (41) 570 Aurelia aurita J 9.34E E E E (41) 571 Aurelia aurita J 1.20E E E E (41) 572 Aurelia aurita J 2.05E E E E (41) 573 Aurelia aurita J 1.90E E E E (41) 574 Aurelia aurita J 1.48E E E E (41) 575 Aurelia aurita J 2.68E E E E (41) 576 Aurelia aurita J 3.27E E E E (41) 577 Aurelia aurita J 5.27E E E E (41)

20 578 Aurelia aurita J 6.03E E E E (41) 579 Cyanea capillata J 4.41E E E E (41) 580 Cyanea capillata J 5.36E E E E (41) 581 Cyanea capillata J 9.54E E E E (41) 582 Cyanea capillata J 1.11E E E E (41) 583 Cyanea capillata J 7.15E E E E (41) 584 Cyanea capillata J 5.60E E E E (41) 585 Cyanea capillata J 4.29E E E E (41) 586 Cyanea capillata J 1.25E E E E (41) 587 Cyanea capillata J 9.77E E E E (41) 588 Cyanea capillata J 1.18E E E E (41) 589 Cyanea capillata J 1.16E E E E (41) 590 Cyanea capillata J 2.79E E E E (41) 591 Cyanea capillata J 1.01E E E E (41) 592 Cyanea capillata J 1.41E E E E (41) 593 Cyanea capillata J 5.72E E E E (41) 594 Cyanea capillata J 5.25E E E E (41) 595 Cyanea capillata J 1.56E E E E (41) 596 Cyanea capillata J 1.13E E E E (41) 597 Cyanea capillata J 3.21E E E E (41) 598 Cyanea capillata J 1.23E E E E (41) 599 Cyanea capillata J 1.04E E E E (41) 600 Cyanea capillata J 8.94E E E E (41) 601 Cyanea capillata J 3.70E E E E (41) 602 Cyanea capillata J 1.72E E E E (41) 603 Cyanea capillata J 1.41E E E E (41) 604 Cyanea capillata J 8.23E E E E (41) 605 Cyanea capillata J 2.22E E E E (41) 606 Cyanea capillata J 1.38E E E E (41) 607 Cyanea capillata J 7.87E E E E (41) 608 Cyanea capillata J 9.42E E E E (41) 609 Cyanea capillata J 1.63E E E E (41) 610 Cyanea capillata J 3.16E E E E (41) 611 Cyanea capillata J 3.24E E E E (41) 612 Cyanea capillata J 2.48E E E E (41) 613 Cyanea capillata J 2.12E E E E (41) 614 Cyanea capillata J 8.94E E E E (41) 615 Cyanea capillata J 2.00E E E E (41) 616 Cyanea capillata J 1.07E E E E (41) 617 Cyanea capillata J 1.23E E E E (41) 618 Cyanea capillata J 2.48E E E E (41) 619 Cyanea capillata J 2.36E E E E (41) 620 Cyanea capillata J 1.03E E E E (41) Chrysaora 621 quinquecirrha J 1.19E E E E-03 3 (42) Chrysaora 622 quinquecirrha J 9.71E E E E-02 3 (42) Chrysaora 623 quinquecirrha J 1.36E E E E-02 3 (42) Chrysaora 624 quinquecirrha J 1.17E E E E-02 3 (42)

Chapter 12 Practice Test

Chapter 12 Practice Test Chapter 12 Practice Test 1. Which of the following is not one of the conditions that must be satisfied in order to perform inference about the slope of a least-squares regression line? (a) For each value

More information

y ) s x x )(y i (x i r = 1 n 1 s y Statistics Lecture 7 Exploring Data , y 2 ,y n (x 1 ),,(x n ),(x 2 ,y 1 How two variables vary together

y ) s x x )(y i (x i r = 1 n 1 s y Statistics Lecture 7 Exploring Data , y 2 ,y n (x 1 ),,(x n ),(x 2 ,y 1 How two variables vary together Statistics 111 - Lecture 7 Exploring Data Numerical Summaries for Relationships between Variables Administrative Notes Homework 1 due in recitation: Friday, Feb. 5 Homework 2 now posted on course website:

More information

Section I: Multiple Choice Select the best answer for each problem.

Section I: Multiple Choice Select the best answer for each problem. Inference for Linear Regression Review Section I: Multiple Choice Select the best answer for each problem. 1. Which of the following is NOT one of the conditions that must be satisfied in order to perform

More information

Equation 1: F spring = kx. Where F is the force of the spring, k is the spring constant and x is the displacement of the spring. Equation 2: F = mg

Equation 1: F spring = kx. Where F is the force of the spring, k is the spring constant and x is the displacement of the spring. Equation 2: F = mg 1 Introduction Relationship between Spring Constant and Length of Bungee Cord In this experiment, we aimed to model the behavior of the bungee cord that will be used in the Bungee Challenge. Specifically,

More information

Chapter 20. Planning Accelerated Life Tests. William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University

Chapter 20. Planning Accelerated Life Tests. William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University Chapter 20 Planning Accelerated Life Tests William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University Copyright 1998-2008 W. Q. Meeker and L. A. Escobar. Based on the authors

More information

Vapor Pressure of Liquids

Vapor Pressure of Liquids Vapor Pressure of Liquids In this experiment, you will investigate the relationship between the vapor pressure of a liquid and its temperature. When a liquid is added to the Erlenmeyer flask shown in Figure

More information

100-Meter Dash Olympic Winning Times: Will Women Be As Fast As Men?

100-Meter Dash Olympic Winning Times: Will Women Be As Fast As Men? 100-Meter Dash Olympic Winning Times: Will Women Be As Fast As Men? The 100 Meter Dash has been an Olympic event since its very establishment in 1896(1928 for women). The reigning 100-meter Olympic champion

More information

Naval Postgraduate School, Operational Oceanography and Meteorology. Since inputs from UDAS are continuously used in projects at the Naval

Naval Postgraduate School, Operational Oceanography and Meteorology. Since inputs from UDAS are continuously used in projects at the Naval How Accurate are UDAS True Winds? Charles L Williams, LT USN September 5, 2006 Naval Postgraduate School, Operational Oceanography and Meteorology Abstract Since inputs from UDAS are continuously used

More information

Boyle s Law. Pressure-Volume Relationship in Gases. Figure 1

Boyle s Law. Pressure-Volume Relationship in Gases. Figure 1 Boyle s Law Pressure-Volume Relationship in Gases The primary objective of this experiment is to determine the relationship between the pressure and volume of a confined gas. The gas we use will be air,

More information

Wind Regimes 1. 1 Wind Regimes

Wind Regimes 1. 1 Wind Regimes Wind Regimes 1 1 Wind Regimes The proper design of a wind turbine for a site requires an accurate characterization of the wind at the site where it will operate. This requires an understanding of the sources

More information

Lab 1. Adiabatic and reversible compression of a gas

Lab 1. Adiabatic and reversible compression of a gas Lab 1. Adiabatic and reversible compression of a gas Introduction The initial and final states of an adiabatic and reversible volume change of an ideal gas can be determined by the First Law of Thermodynamics

More information

Experiment. THE RELATIONSHIP BETWEEN VOLUME AND TEMPERATURE, i.e.,charles Law. By Dale A. Hammond, PhD, Brigham Young University Hawaii

Experiment. THE RELATIONSHIP BETWEEN VOLUME AND TEMPERATURE, i.e.,charles Law. By Dale A. Hammond, PhD, Brigham Young University Hawaii Experiment THE RELATIONSHIP BETWEEN VOLUME AND TEMPERATURE, i.e.,charles Law By Dale A. Hammond, PhD, Brigham Young University Hawaii The objectives of this experiment are to... LEARNING OBJECTIVES introduce

More information

Bioequivalence: Saving money with generic drugs

Bioequivalence: Saving money with generic drugs The Right Stuff: Appropriate Mathematics for All Students Promoting the use of materials that engage students in meaningful activities that promote the effective use of technology to support mathematics,

More information

A Nomogram Of Performances In Endurance Running Based On Logarithmic Model Of Péronnet-Thibault

A Nomogram Of Performances In Endurance Running Based On Logarithmic Model Of Péronnet-Thibault American Journal of Engineering Research (AJER) e-issn: 2320-0847 p-issn : 2320-0936 Volume-6, Issue-9, pp-78-85 www.ajer.org Research Paper Open Access A Nomogram Of Performances In Endurance Running

More information

Long term changes in zooplankton size distribution in the Peruvian Humboldt Current System: Conditions favouring sardine or anchovy

Long term changes in zooplankton size distribution in the Peruvian Humboldt Current System: Conditions favouring sardine or anchovy Long term changes in zooplankton size distribution in the Peruvian Humboldt Current System: Conditions favouring sardine or anchovy Patricia Ayón 1, Gordon Swartzman 2 Pepe Espinoza 1, Arnaud Bertrand

More information

Vapor Pressure of Liquids

Vapor Pressure of Liquids Vapor Pressure of Liquids Calculator 10 In this experiment, you will investigate the relationship between the vapor pressure of a liquid and its temperature. When a liquid is added to the Erlenmeyer flask

More information

Report for Experiment #11 Testing Newton s Second Law On the Moon

Report for Experiment #11 Testing Newton s Second Law On the Moon Report for Experiment #11 Testing Newton s Second Law On the Moon Neil Armstrong Lab partner: Buzz Aldrin TA: Michael Collins July 20th, 1969 Abstract In this experiment, we tested Newton s second law

More information

Can trawling effort be identified from satellite-based VMS data?

Can trawling effort be identified from satellite-based VMS data? Not to be cited without prior reference to the author International Council for the Exploration of the Seas Theme session N: Technologies for monitoring fishing activities and observing catch Can trawling

More information

Setting up group models Part 1 NITP, 2011

Setting up group models Part 1 NITP, 2011 Setting up group models Part 1 NITP, 2011 What is coming up Crash course in setting up models 1-sample and 2-sample t-tests Paired t-tests ANOVA! Mean centering covariates Identifying rank deficient matrices

More information

The Gas Laws: Boyle's Law and Charles Law

The Gas Laws: Boyle's Law and Charles Law Exercise 6 Page 1 Illinois Central College CHEMISTRY 130 Name The Gas Laws: Boyle's Law and Charles Law Objective The simple laws governing the properties of gases can be readily demonstrated experimentally.

More information

Lesson 14: Modeling Relationships with a Line

Lesson 14: Modeling Relationships with a Line Exploratory Activity: Line of Best Fit Revisited 1. Use the link http://illuminations.nctm.org/activity.aspx?id=4186 to explore how the line of best fit changes depending on your data set. A. Enter any

More information

Running head: DATA ANALYSIS AND INTERPRETATION 1

Running head: DATA ANALYSIS AND INTERPRETATION 1 Running head: DATA ANALYSIS AND INTERPRETATION 1 Data Analysis and Interpretation Final Project Vernon Tilly Jr. University of Central Oklahoma DATA ANALYSIS AND INTERPRETATION 2 Owners of the various

More information

GLMM standardisation of the commercial abalone CPUE for Zones A-D over the period

GLMM standardisation of the commercial abalone CPUE for Zones A-D over the period GLMM standardisation of the commercial abalone for Zones A-D over the period 1980 2015 Anabela Brandão and Doug S. Butterworth Marine Resource Assessment & Management Group (MARAM) Department of Mathematics

More information

Vapor Pressure of Liquids

Vapor Pressure of Liquids Experiment 10 In this experiment, you will investigate the relationship between the vapor pressure of a liquid and its temperature. When a liquid is added to the Erlenmeyer flask shown in Figure 1, it

More information

CENTER PIVOT EVALUATION AND DESIGN

CENTER PIVOT EVALUATION AND DESIGN CENTER PIVOT EVALUATION AND DESIGN Dale F. Heermann Agricultural Engineer USDA-ARS 2150 Centre Avenue, Building D, Suite 320 Fort Collins, CO 80526 Voice -970-492-7410 Fax - 970-492-7408 Email - dale.heermann@ars.usda.gov

More information

MARK SCHEME for the October/November 2013 series 9700 BIOLOGY. 9700/53 Paper 5 (Planning, Analysis and Evaluation), maximum raw mark 30

MARK SCHEME for the October/November 2013 series 9700 BIOLOGY. 9700/53 Paper 5 (Planning, Analysis and Evaluation), maximum raw mark 30 CAMBRIDGE INTERNATIONAL EXAMINATIONS GCE Advanced Subsidiary Level and GCE Advanced Level MARK SCHEME for the October/November 2013 series 9700 BIOLOGY 9700/53 Paper 5 (Planning, Analysis and Evaluation),

More information

PSY201: Chapter 5: The Normal Curve and Standard Scores

PSY201: Chapter 5: The Normal Curve and Standard Scores PSY201: Chapter 5: The Normal Curve and Standard Scores Introduction: Normal curve + a very important distribution in behavior sciences + three principal reasons why... - 1. many of the variables measured

More information

Novel empirical correlations for estimation of bubble point pressure, saturated viscosity and gas solubility of crude oils

Novel empirical correlations for estimation of bubble point pressure, saturated viscosity and gas solubility of crude oils 86 Pet.Sci.(29)6:86-9 DOI 1.17/s12182-9-16-x Novel empirical correlations for estimation of bubble point pressure, saturated viscosity and gas solubility of crude oils Ehsan Khamehchi 1, Fariborz Rashidi

More information

Standing Waves in a String

Standing Waves in a String Standing Waves in a String OBJECTIVE To understand the circumstances necessary to produce a standing wave. To observe and define the quantities associated with a standing wave. To determine the wavelength

More information

Applying Hooke s Law to Multiple Bungee Cords. Introduction

Applying Hooke s Law to Multiple Bungee Cords. Introduction Applying Hooke s Law to Multiple Bungee Cords Introduction Hooke s Law declares that the force exerted on a spring is proportional to the amount of stretch or compression on the spring, is always directed

More information

End of Chapter Exercises

End of Chapter Exercises End of Chapter Exercises Exercises 1 12 are conceptual questions that are designed to see if you have understood the main concepts of the chapter. 1. While on an airplane, you take a drink from your water

More information

The Simple Linear Regression Model ECONOMETRICS (ECON 360) BEN VAN KAMMEN, PHD

The Simple Linear Regression Model ECONOMETRICS (ECON 360) BEN VAN KAMMEN, PHD The Simple Linear Regression Model ECONOMETRICS (ECON 360) BEN VAN KAMMEN, PHD Outline Definition. Deriving the Estimates. Properties of the Estimates. Units of Measurement and Functional Form. Expected

More information

Saphir Guided Session #8

Saphir Guided Session #8 Ecrin v4.30 - Doc v4.30.05 - KAPPA 1988-2013 Saphir Guided Session #8 SapGS08-1/11 Saphir Guided Session #8 A01 Introduction This Guided Session illustrates the minifrac option available for analysis of

More information

Fig. 1 Regions of the continental U.S. and southern Canada included in the Christmas Bird Count (CBC). Points designate CBC survey locations.

Fig. 1 Regions of the continental U.S. and southern Canada included in the Christmas Bird Count (CBC). Points designate CBC survey locations. Fig. 1 Regions of the continental U.S. and southern Canada included in the Christmas Bird Count (CBC). Points designate CBC survey locations. See text for details. Fig. 2a State-specific slope coefficients

More information

Citation for published version (APA): Canudas Romo, V. (2003). Decomposition Methods in Demography Groningen: s.n.

Citation for published version (APA): Canudas Romo, V. (2003). Decomposition Methods in Demography Groningen: s.n. University of Groningen Decomposition Methods in Demography Canudas Romo, Vladimir IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please

More information

The purpose of this experiment is to find this acceleration for a puck moving on an inclined air table.

The purpose of this experiment is to find this acceleration for a puck moving on an inclined air table. Experiment : Motion in an Inclined Plane PURPOSE The purpose of this experiment is to find this acceleration for a puck moving on an inclined air table. GENERAL In Experiment-1 you were concerned with

More information

Boyle s Law: Pressure-Volume Relationship in Gases. PRELAB QUESTIONS (Answer on your own notebook paper)

Boyle s Law: Pressure-Volume Relationship in Gases. PRELAB QUESTIONS (Answer on your own notebook paper) Boyle s Law: Pressure-Volume Relationship in Gases Experiment 18 GRADE LEVEL INDICATORS Construct, interpret and apply physical and conceptual models that represent or explain systems, objects, events

More information

Thermal Profiling the Reflow Process

Thermal Profiling the Reflow Process Thermal Profiling the Reflow Process The Nomadics TCProfile system is a cost-effective instrument to measure the temperature characteristics of any process where the thermal profile is important to the

More information

Boyle s Law: Pressure-Volume Relationship in Gases

Boyle s Law: Pressure-Volume Relationship in Gases Boyle s Law: Pressure-Volume Relationship in Gases The primary objective of this experiment is to determine the relationship between the pressure and volume of a confined gas. The gas we will use is air,

More information

Experimental Investigation Of Flow Past A Rough Surfaced Cylinder

Experimental Investigation Of Flow Past A Rough Surfaced Cylinder (AET- 29th March 214) RESEARCH ARTICLE OPEN ACCESS Experimental Investigation Of Flow Past A Rough Surfaced Cylinder Monalisa Mallick 1, A. Kumar 2 1 (Department of Civil Engineering, National Institute

More information

Effects of directionality on wind load and response predictions

Effects of directionality on wind load and response predictions Effects of directionality on wind load and response predictions Seifu A. Bekele 1), John D. Holmes 2) 1) Global Wind Technology Services, 205B, 434 St Kilda Road, Melbourne, Victoria 3004, Australia, seifu@gwts.com.au

More information

USING DELTA-GAMMA GENERALIZED LINEAR MODELS TO STANDARDIZE CATCH RATES OF YELLOWFIN TUNA CAUGHT BY BRAZILIAN BAIT-BOATS

USING DELTA-GAMMA GENERALIZED LINEAR MODELS TO STANDARDIZE CATCH RATES OF YELLOWFIN TUNA CAUGHT BY BRAZILIAN BAIT-BOATS SCRS/2008/166 USING DELTA-GAMMA GENERALIZED LINEAR MODELS TO STANDARDIZE CATCH RATES OF YELLOWFIN TUNA CAUGHT BY BRAZILIAN BAIT-BOATS Humber A. Andrade 1 SUMMARY In order to standardize catch per unit

More information

Lab 11: Introduction to Linear Regression

Lab 11: Introduction to Linear Regression Lab 11: Introduction to Linear Regression Batter up The movie Moneyball focuses on the quest for the secret of success in baseball. It follows a low-budget team, the Oakland Athletics, who believed that

More information

Cover Page for Lab Report Group Portion. Head Losses in Pipes

Cover Page for Lab Report Group Portion. Head Losses in Pipes Cover Page for Lab Report Group Portion Head Losses in Pipes Prepared by Professor J. M. Cimbala, Penn State University Latest revision: 02 February 2012 Name 1: Name 2: Name 3: [Name 4: ] Date: Section

More information

Factors Affecting the Probability of Arrests at an NFL Game

Factors Affecting the Probability of Arrests at an NFL Game Factors Affecting the Probability of Arrests at an NFL Game Patrick Brown 1. Introduction Every NFL season comes with its fair share of stories about rowdy fans taking things too far and getting themselves

More information

Navigate to the golf data folder and make it your working directory. Load the data by typing

Navigate to the golf data folder and make it your working directory. Load the data by typing Golf Analysis 1.1 Introduction In a round, golfers have a number of choices to make. For a particular shot, is it better to use the longest club available to try to reach the green, or would it be better

More information

Variability in the Dynamics of Forage Fish Abundances in Chesapeake Bay: Retrospective Analysis, Models and Synthesis

Variability in the Dynamics of Forage Fish Abundances in Chesapeake Bay: Retrospective Analysis, Models and Synthesis Ref. No. [UMCES]CBL Variability in the Dynamics of Forage Fish Abundances in Chesapeake Bay: Retrospective Analysis, Models and Synthesis Robert J. Wood* Edward D. Houde University of Maryland Center for

More information

A N E X P L O R AT I O N W I T H N E W Y O R K C I T Y TA X I D ATA S E T

A N E X P L O R AT I O N W I T H N E W Y O R K C I T Y TA X I D ATA S E T A N E X P L O R AT I O N W I T H N E W Y O R K C I T Y TA X I D ATA S E T GAO, Zheng 26 May 2016 Abstract The data analysis is two-part: an exploratory data analysis, and an attempt to answer an inferential

More information

Discussion on the Selection of the Recommended Fish Passage Design Discharge

Discussion on the Selection of the Recommended Fish Passage Design Discharge Discussion on the Selection of the Recommended Fish Passage Design Discharge Introduction The provision of fish passage is a requirement for most proposed culvert and bridge installations in Alberta, depending

More information

100-Meter Dash Olympic Winning Times: Will Women Be As Fast As Men?

100-Meter Dash Olympic Winning Times: Will Women Be As Fast As Men? 100-Meter Dash Olympic Winning Times: Will Women Be As Fast As Men? The 100 Meter Dash has been an Olympic event since its very establishment in 1896(1928 for women). The reigning 100-meter Olympic champion

More information

Standardized catch rates of yellowtail snapper ( Ocyurus chrysurus

Standardized catch rates of yellowtail snapper ( Ocyurus chrysurus Standardized catch rates of yellowtail snapper (Ocyurus chrysurus) from the Marine Recreational Fisheries Statistics Survey in south Florida, 1981-2010 Introduction Yellowtail snapper are caught by recreational

More information

Introduction. o 2. ! "#$ % & ' (" 4 Watt/m 2. Major

Introduction. o 2. ! #$ % & ' ( 4 Watt/m 2. Major 07, 08 9 07%, 8 Abstract Killer whale pods sometimes hunt herring by corralling the fish into a tight ball near the ocean surface and stunning them with underwater tail slaps before eating them. I asked

More information

March Madness Basketball Tournament

March Madness Basketball Tournament March Madness Basketball Tournament Math Project COMMON Core Aligned Decimals, Fractions, Percents, Probability, Rates, Algebra, Word Problems, and more! To Use: -Print out all the worksheets. -Introduce

More information

SHORT COMMUNICATION A SIMPLE, SENSITIVE AND VERSATILE SOLID-STATE PRESSURE TRANSDUCER

SHORT COMMUNICATION A SIMPLE, SENSITIVE AND VERSATILE SOLID-STATE PRESSURE TRANSDUCER J. exp. Biol 134, 429-433 (1988) 429 Printed in Great Britain The Company of Biologists Limited 1988 SHORT COMMUNICATION A SIMPLE, SENSITIVE AND VERSATILE SOLID-STATE PRESSURE TRANSDUCER BY JOHN R. B.

More information

Sea State Analysis. Topics. Module 7 Sea State Analysis 2/22/2016. CE A676 Coastal Engineering Orson P. Smith, PE, Ph.D.

Sea State Analysis. Topics. Module 7 Sea State Analysis 2/22/2016. CE A676 Coastal Engineering Orson P. Smith, PE, Ph.D. Sea State Analysis Module 7 Orson P. Smith, PE, Ph.D. Professor Emeritus Module 7 Sea State Analysis Topics Wave height distribution Wave energy spectra Wind wave generation Directional spectra Hindcasting

More information

Hydrostatics Physics Lab XI

Hydrostatics Physics Lab XI Hydrostatics Physics Lab XI Objective Students will discover the basic principles of buoyancy in a fluid. Students will also quantitatively demonstrate the variance of pressure with immersion depth in

More information

Name Student Activity

Name Student Activity Open the TI-Nspire document Boyles_Law.tns. In this activity, you will use a Gas Pressure Sensor to measure the pressure of an air sample inside a syringe. Using graphs, you will apply your results to

More information

United States Commercial Vertical Line Vessel Standardized Catch Rates of Red Grouper in the US South Atlantic,

United States Commercial Vertical Line Vessel Standardized Catch Rates of Red Grouper in the US South Atlantic, SEDAR19-DW-14 United States Commercial Vertical Line Vessel Standardized Catch Rates of Red Grouper in the US South Atlantic, 1993-2008 Kevin McCarthy and Neil Baertlein National Marine Fisheries Service,

More information

One-factor ANOVA by example

One-factor ANOVA by example ANOVA One-factor ANOVA by example 2 One-factor ANOVA by visual inspection 3 4 One-factor ANOVA H 0 H 0 : µ 1 = µ 2 = µ 3 = H A : not all means are equal 5 One-factor ANOVA but why not t-tests t-tests?

More information

The probability of winning a high school football game.

The probability of winning a high school football game. Columbus State University CSU epress Faculty Bibliography 2008 The probability of winning a high school football game. Jennifer Brown Follow this and additional works at: http://csuepress.columbusstate.edu/bibliography_faculty

More information

CFD Analysis of Giromill Type Vertical Axis Wind Turbine

CFD Analysis of Giromill Type Vertical Axis Wind Turbine 242 CFD Analysis Giromill Type Vertical Axis Wind Turbine K. Sainath 1, T. Ravi 2, Suresh Akella 3, P. Madhu Sudhan 4 1 Associate Pressor, Department Mechanical Engineering, Sreyas Inst. Engg. & Tech.,

More information

On the association of inrun velocity and jumping width in ski. jumping

On the association of inrun velocity and jumping width in ski. jumping On the association of inrun velocity and jumping width in ski jumping Oliver Kuss Institute of Medical Epidemiology, Biostatistics, and Informatics University of Halle-Wittenberg, 06097 Halle (Saale),

More information

March Madness Basketball Tournament

March Madness Basketball Tournament March Madness Basketball Tournament Math Project COMMON Core Aligned Decimals, Fractions, Percents, Probability, Rates, Algebra, Word Problems, and more! To Use: -Print out all the worksheets. -Introduce

More information

Calibration Procedure

Calibration Procedure Management Procedure 2565 Revision: A Date Issued: October 30, 2017 Date Revised: Calibration Procedure DeFelsko Corporation PosiTector RTR-3D Replica Tape Reader Probe Table of Contents 1 Introduction

More information

BODY FORM INFLUENCES ON THE DRAG EXPERIENCED BY JUNIOR SWIMMERS. Australia, Perth, Australia

BODY FORM INFLUENCES ON THE DRAG EXPERIENCED BY JUNIOR SWIMMERS. Australia, Perth, Australia 1 BODY FORM INFLUENCES ON THE DRAG EXPERIENCED BY JUNIOR SWIMMERS Andrew Lyttle 1, Nat Benjanuvatra 2, Brian A Blanksby 2, Bruce C Elliott 2 1 Western Australian Institute of Sport, Perth, Australia 2

More information

Jellyfish as a predator and prey of fishes: underwater observations and rearing experiments

Jellyfish as a predator and prey of fishes: underwater observations and rearing experiments Jellyfish as a predator and prey of fishes: underwater observations and rearing experiments Reiji Masuda, Yuko Miyajima, Ryosuke Ohata, Yoh Yamashita Maizuru Fisheries Research Station Kyoto Univ. Catch

More information

Investigations into the identification and control of outburst risk in Australian underground coal mines

Investigations into the identification and control of outburst risk in Australian underground coal mines Investigations into the identification and control of outburst risk in Australian underground coal mines Dennis J Black 1,2 1. Principal Consultant, PacificMGM, Bulli NSW 2516, Australia 2. Honorary Fellow,

More information

Habit Formation in Voting: Evidence from Rainy Elections Thomas Fujiwara, Kyle Meng, and Tom Vogl ONLINE APPENDIX

Habit Formation in Voting: Evidence from Rainy Elections Thomas Fujiwara, Kyle Meng, and Tom Vogl ONLINE APPENDIX Habit Formation in Voting: Evidence from Rainy Elections Thomas Fujiwara, Kyle Meng, and Tom Vogl ONLINE APPENDIX Figure A1: Share of Counties with Election-Day Rainfall by Year Share of counties with

More information

Unit 2 Kinetic Theory, Heat, and Thermodynamics: 2.A.1 Problems Temperature and Heat Sections of your book.

Unit 2 Kinetic Theory, Heat, and Thermodynamics: 2.A.1 Problems Temperature and Heat Sections of your book. Unit 2 Kinetic Theory, Heat, and Thermodynamics: 2.A.1 Problems Temperature and Heat Sections 10.1 10.2 of your book. Convert the following to Celsius and Kelvin temperatures: 1. 80.0 o F Early E. C.:

More information

APPROVED FACILITY SCHOOLS CURRICULUM DOCUMENT SUBJECT: Mathematics GRADE: 6. TIMELINE: Quarter 1. Student Friendly Learning Objective

APPROVED FACILITY SCHOOLS CURRICULUM DOCUMENT SUBJECT: Mathematics GRADE: 6. TIMELINE: Quarter 1. Student Friendly Learning Objective TIMELINE: Quarter 1 i-ready lesson: Rational Numbers and Absolute Value i-ready lesson: Numerical Expressions and Order of Operations 6/16/15 1 i-ready lesson (2a, 2b and 2c): Algebraic Expressions 6/16/15

More information

Evaluation copy. Vapor Pressure of Liquids. computer OBJECTIVES MATERIALS

Evaluation copy. Vapor Pressure of Liquids. computer OBJECTIVES MATERIALS Vapor Pressure of Liquids Computer 10 In this experiment, you will investigate the relationship between the vapor pressure of a liquid and its temperature. When a liquid is added to the Erlenmeyer flask

More information

Hydroacoustic surveys of Otsego Lake s pelagic fish community,

Hydroacoustic surveys of Otsego Lake s pelagic fish community, Hydroacoustic surveys of Otsego Lake s pelagic fish community, 2010 1 Holly A. Waterfield 2 and Mark Cornwell 3 INTRODUCTION Hydroacoustic surveys were conducted in May and November 2010 to estimate pelagic

More information

End of Chapter Exercises

End of Chapter Exercises End of Chapter Exercises Exercises 1 12 are conceptual questions that are designed to see if you have understood the main concepts of the chapter. 1. While on an airplane, you take a drink from your water

More information

Wing-Body Combinations

Wing-Body Combinations Wing-Body Combinations even a pencil at an angle of attack will generate lift, albeit small. Hence, lift is produced by the fuselage of an airplane as well as the wing. The mating of a wing with a fuselage

More information

Pressure of the atmosphere varies with elevation and weather conditions. Barometer- device used to measure atmospheric pressure.

Pressure of the atmosphere varies with elevation and weather conditions. Barometer- device used to measure atmospheric pressure. Chapter 12 Section 1 Pressure A gas exerts pressure on its surroundings. Blow up a balloon. The gas we are most familiar with is the atmosphere, a mixture of mostly elemental nitrogen and oxygen. Pressure

More information

Prevention Of Accidents Caused By Rotating Transit Bus Wheels By James M. Green, P.E., DEE

Prevention Of Accidents Caused By Rotating Transit Bus Wheels By James M. Green, P.E., DEE Prevention Of Accidents Caused By Rotating Transit Bus Wheels By James M. Green, P.E., DEE Introduction The accident statistics for injuries caused by pedestrians or cyclists being injured, or killed,

More information

Which On-Base Percentage Shows. the Highest True Ability of a. Baseball Player?

Which On-Base Percentage Shows. the Highest True Ability of a. Baseball Player? Which On-Base Percentage Shows the Highest True Ability of a Baseball Player? January 31, 2018 Abstract This paper looks at the true on-base ability of a baseball player given their on-base percentage.

More information

E STIMATING KILN SCHEDULES FOR TROPICAL AND TEMPERATE HARDWOODS USING SPECIFIC GRAVITY

E STIMATING KILN SCHEDULES FOR TROPICAL AND TEMPERATE HARDWOODS USING SPECIFIC GRAVITY P ROCESSES E STIMATING KILN SCHEDULES FOR TROPICAL AND TEMPERATE HARDWOODS USING SPECIFIC GRAVITY W ILLIAM T. SIMPSON S TEVE P. VERRILL A BSTRACT Dry-kiln schedules have been developed for many hardwood

More information

SCIENTIFIC COMMITTEE SEVENTH REGULAR SESSION August 2011 Pohnpei, Federated States of Micronesia

SCIENTIFIC COMMITTEE SEVENTH REGULAR SESSION August 2011 Pohnpei, Federated States of Micronesia SCIENTIFIC COMMITTEE SEVENTH REGULAR SESSION 9-17 August 2011 Pohnpei, Federated States of Micronesia CPUE of skipjack for the Japanese offshore pole and line using GPS and catch data WCPFC-SC7-2011/SA-WP-09

More information

Lab 3 Introduction to Quantitative Analysis: Pumps and Measurements of Flow

Lab 3 Introduction to Quantitative Analysis: Pumps and Measurements of Flow Georgia Institute of Technology School of Earth and Atmospheric Sciences EAS 4641, Spring 2008 Lab 3 Introduction to Quantitative Analysis: Pumps and Measurements of Flow Purpose of Lab 3: 1) To gain a

More information

Boyle s Law: Pressure-Volume Relationship in Gases

Boyle s Law: Pressure-Volume Relationship in Gases Boyle s Law: Pressure-Volume Relationship in Gases Computer 6 The primary objective of this experiment is to determine the relationship between the pressure and volume of a confined gas. The gas we use

More information

Fall 2017: Problem Set 3 (DUE Oct 26; 50 points)

Fall 2017: Problem Set 3 (DUE Oct 26; 50 points) ESS 445 Introduction to Fisheries Science and Management: Biology, Ecology, Management, and Conservation of North American Freshwater Fishes and Aquatic Ecosystems Fall 2017: Problem Set 3 (DUE Oct 26;

More information

Preparation for Salinity Control ME 121

Preparation for Salinity Control ME 121 Preparation for Salinity Control ME 121 This document describes a set of measurements and analyses that will help you to write an Arduino program to control the salinity of water in your fish tank. The

More information

Traceable calibration of automatic weighing instruments in dynamic operation

Traceable calibration of automatic weighing instruments in dynamic operation Traceable calibration of automatic weighing instruments in dynamic operation Matej Grum* Metrology Institute of the Republic of Slovenia, Grudnovo nabrežje 17, 1000 Ljubljana, Slovenia Abstract. The article

More information

Characterizers for control loops

Characterizers for control loops Characterizers for control loops By: F. G. Shinskey (May 1999) Introduction Commercial controllers such as the PID series (proportional, integral, derivative, and their combinations) are linear devices

More information

On-Road Parking A New Approach to Quantify the Side Friction Regarding Road Width Reduction

On-Road Parking A New Approach to Quantify the Side Friction Regarding Road Width Reduction On-Road Parking A New Regarding Road Width Reduction a b Indian Institute of Technology Guwahati Guwahati 781039, India Outline Motivation Introduction Background Data Collection Methodology Results &

More information

Evaluation of aerodynamic criteria in the design of a small wind turbine with the lifting line model

Evaluation of aerodynamic criteria in the design of a small wind turbine with the lifting line model Evaluation of aerodynamic criteria in the design of a small wind turbine with the lifting line model Nicolas BRUMIOUL Abstract This thesis deals with the optimization of the aerodynamic design of a small

More information

Additional Reading General, Organic and Biological Chemistry, by Timberlake, chapter 8.

Additional Reading General, Organic and Biological Chemistry, by Timberlake, chapter 8. Gas Laws EXPERIMENTAL TASK Determine the mathematical relationship between the volume of a gas sample and its absolute temperature, using experimental data; and to determine the mathematical relationship

More information

intended velocity ( u k arm movements

intended velocity ( u k arm movements Fig. A Complete Brain-Machine Interface B Human Subjects Closed-Loop Simulator ensemble action potentials (n k ) ensemble action potentials (n k ) primary motor cortex simulated primary motor cortex neuroprosthetic

More information

Incompressible Potential Flow. Panel Methods (3)

Incompressible Potential Flow. Panel Methods (3) Incompressible Potential Flow Panel Methods (3) Outline Some Potential Theory Derivation of the Integral Equation for the Potential Classic Panel Method Program PANEL Subsonic Airfoil Aerodynamics Issues

More information

Minimum Mean-Square Error (MMSE) and Linear MMSE (LMMSE) Estimation

Minimum Mean-Square Error (MMSE) and Linear MMSE (LMMSE) Estimation Minimum Mean-Square Error (MMSE) and Linear MMSE (LMMSE) Estimation Outline: MMSE estimation, Linear MMSE (LMMSE) estimation, Geometric formulation of LMMSE estimation and orthogonality principle. Reading:

More information

Results and Discussion for Steady Measurements

Results and Discussion for Steady Measurements Chapter 5 Results and Discussion for Steady Measurements 5.1 Steady Skin-Friction Measurements 5.1.1 Data Acquisition and Reduction A Labview software program was developed for the acquisition of the steady

More information

save percentages? (Name) (University)

save percentages? (Name) (University) 1 IB Maths Essay: What is the correlation between the height of football players and their save percentages? (Name) (University) Table of Contents Raw Data for Analysis...3 Table 1: Raw Data...3 Rationale

More information

8th Grade. Data.

8th Grade. Data. 1 8th Grade Data 2015 11 20 www.njctl.org 2 Table of Contents click on the topic to go to that section Two Variable Data Line of Best Fit Determining the Prediction Equation Two Way Table Glossary Teacher

More information

Analysis of Traditional Yaw Measurements

Analysis of Traditional Yaw Measurements Analysis of Traditional Yaw Measurements Curiosity is the very basis of education and if you tell me that curiosity killed the cat, I say only the cat died nobly. Arnold Edinborough Limitations of Post-

More information

SPATIAL STATISTICS A SPATIAL ANALYSIS AND COMPARISON OF NBA PLAYERS. Introduction

SPATIAL STATISTICS A SPATIAL ANALYSIS AND COMPARISON OF NBA PLAYERS. Introduction A SPATIAL ANALYSIS AND COMPARISON OF NBA PLAYERS KELLIN RUMSEY Introduction The 2016 National Basketball Association championship featured two of the leagues biggest names. The Golden State Warriors Stephen

More information

Multilevel Models for Other Non-Normal Outcomes in Mplus v. 7.11

Multilevel Models for Other Non-Normal Outcomes in Mplus v. 7.11 Multilevel Models for Other Non-Normal Outcomes in Mplus v. 7.11 Study Overview: These data come from a daily diary study that followed 41 male and female college students over a six-week period to examine

More information

Post impact trajectory of vehicles at rural intersections

Post impact trajectory of vehicles at rural intersections Post impact trajectory of vehicles at rural intersections Doecke SD., Woolley JE. and Mackenzie JR. Centre for Automotive Safety Research Abstract This report describes the path of vehicles after a collision

More information

BBS Fall Conference, 16 September Use of modeling & simulation to support the design and analysis of a new dose and regimen finding study

BBS Fall Conference, 16 September Use of modeling & simulation to support the design and analysis of a new dose and regimen finding study BBS Fall Conference, 16 September 211 Use of modeling & simulation to support the design and analysis of a new dose and regimen finding study Didier Renard Background (1) Small molecule delivered by lung

More information

Gerald D. Anderson. Education Technical Specialist

Gerald D. Anderson. Education Technical Specialist Gerald D. Anderson Education Technical Specialist The factors which influence selection of equipment for a liquid level control loop interact significantly. Analyses of these factors and their interactions

More information