AP Statistics Name ID: 1 K L2K0[1x8g fk`u^t[ah fsnohfktbwmahrqez jlhlrcv.q r aaclhll VriiqgAhOtMsJ vreensaejrvvcesdp. Summer Work 2018 Find the median for each data set. Date Period 1) Shoe Size 2) Hours Slept 6 8 10 Size 5 6 7 8 Hours 3) Educational Attainment by US State State % Bachelor's Degree Hawaii 29.6 Alaska 26.6 Iowa 25.1 California 29.9 Maine 26.9 Nevada 21.8 Oregon 29.2 South Dakota 25.1 Delaware 28.7 Find the mode for each data set. 4) Adult Male Heights 5) 66 68 70 72 74 76 78 Inches 53 43 46 39 52 51 48 52 43 Test Scores J v2y0t1z8l ]K]uLtJad ZSfoVfZt]wQaorqeP el`lncr.[ L HAelmlU mryixgchttlsp brheqsgecr_vxebdh.g y imua`daeu AweiGtMhp viknpfwianlietcew CABlMgCeQb_r[aH [1j. -1-
6) Games per World Series 4 5 6 7 Games Find the mean for each data set. 7) Sales Tax 8) State Percent State Percent California 7.5 Montana 0 Georgia 4 Mississippi 7 Delaware 0 Connecticut 6.35 Arizona 5.6 New Jersey 7 Tennessee 7 Colorado 2.9 Annual Household Income 10,450 13,650 38,500 12,300 9,750 46,400 9,200 9,700 42,950 9) Melting Point Substance C Substance C Potassium 63.4 Silver 961.8 Carbon 3,550 Tin 231.9 Plutonium 639.4 Radium 699.8 Cobalt 1,495 Zinc 419.5 Silicon 1,414 Argon 189.2 Find the median, lower quartile, upper quartile, and interquartile range for each data set. 10) Injuries Due to Distracted Driving per Month 6,967 9,434 8,954 6,740 7,277 6,686 5,499 11,248 7,578 d i2e0v1y8j ^Kcultla] msvobfytawoairdel BLgLeCS.j E ra_ldll arai`gkhwtnsl Cr_elsAearqvweWd\.[ g nmoaddoea cwpiitmho miwnrfhiintist_eg bawlnglefbfrhan P1[. -2-
11) Basketball Tournament School Appearances School Appearances School Appearances Wright State 2 Duquesne 5 Rice 4 San José State 3 Eastern Illinois 2 Yale 3 George Washington 11 Clemson 10 North Florida 1 Prairie View A&M 1 12) Age at First Job 12 14 16 18 20 22 Age Find the mode, median, and mean for each data set. 13) Boiling Point ( C) 14) Stem Leaf 0 1 1 1 3 3 4 9 1 5 2 5 9 3 3 Key: 1 5 = 1,500 Life Expectancy by Country Stem Leaf 5 1 6 1 8 7 2 4 4 4 7 8 0 2 Key: 7 2 = 72 J J2u0n1k8i PKXuntzaB hsyowfmtqwgahr_er FLVLXCE.d t tablhln Ur_iEgDhItUsl trpexsgegrnvnerdv.z s lmvajdheu NwEiSt[hq bilnyfzihnzigtyec ba_lig^egbsrta` W1S. -3-
15) Cost of Electricity, per kwh 16) Nobel Laureates 12 12 10 10 Cost ( ) 8 6 Number 4 2 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 8 6 4 2 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 Year Year Construct a scatter plot. State if there appears to be a positive correlation, negative correlation, or no correlation. When there is a correlation, identify the relationship as linear, quadratic, or exponential. 17) X Y X Y 10 140 70 63,300 30 990 80 122,430 30 1,090 80 202,000 30 1,440 90 526,480 60 34,050 90 765,720 18) X Y X Y 1 8,000 8 1,000 2 5,000 8 1,000 4 3,000 9 2,000 5 2,000 10 2,000 7 1,000 10 2,000 8000 700000 600000 500000 400000 300000 200000 100000 7000 6000 5000 4000 3000 2000 1000 10 20 30 40 50 60 70 80 90 1 2 3 4 5 6 7 8 9 10 h W2w0v1e8C _Kvu[tTav LSLoxfut_wDa[rqeY glelpcw.v C FATlUlm XrBiegihWtesH RrXelsgearsvKeEdH.j D LMiavdvep Fw^iHtAhi cign`fgiansi]toel YA\lTgoe[brrxak u1v. -4-
19) X Y X Y X Y 29 6 58 4 89 2 29 8 58 5 92 10 31 2 83 7 106 7 56 7 10 9 8 7 6 5 4 3 20) X Y X Y 10 1,000 40 4,000 10 6,000 50 2,000 20 6,000 50 6,000 20 7,000 60 4,000 40 1,000 80 3,000 7000 6000 5000 4000 3000 2 1 20 40 60 80 100 2000 1000 10 20 30 40 50 60 70 80 21) X Y X Y 0.6 90 5.4 15,260 0.9 140 6.4 46,820 2.4 600 7.1 96,880 3.3 1,700 7.6 152,130 4.1 3,910 9.3 991,150 900000 800000 700000 600000 500000 400000 300000 200000 100000 1 2 3 4 5 6 7 8 9 10 V t2^0r1i8b fkxuctuah fsdoef^tqwda`rke` jlslwco.n w ea\lalo kryiugohettsy XrRefsNeFrNvWe]dg.b f ^MVaqdReb vwmirthhl \ISnEfAiKnjiztxeV _AtlcgWeJborhas T1N. -5-
22) The population of a city is given for several years: Year Population 1 40,100 3 41,500 7 45,200 12 54,500 17 62,300 18 67,200 This can be modeled by the equation y = 37900 1.03 x where x is the number of years since the city was founded and y is the population. Population 70000 65000 60000 55000 50000 45000 40000 2 4 6 8 10 12 14 16 18 Years Since Founded a) What does the y-intercept of this function represent? b) According to the model, what was the city's population 9 years after it was founded? Round your answer to the nearest hundred. B P2I0U1L8R okcuft]ac NSEoafetIwtaprMeY CLdLfCc.z e tahlmlx rrkiggfh^txsl Zr[eKsCeqrlvweQdL.E F imjaidhez \wmi]thhh xirnzfwisncibtoem XAxlngGekbdr\a[ e1g. -6-
23) The National Oceanic and Atmospheric Administration tracks the amount of oysters harvested from the Chesapeake Bay each year: Years since 1900 Oysters (metric tons) 2 43 27 19.3 54 8.22 65 6.42 77 3.51 92 2.09 This can be modeled by the equation y = 47.9 0.967 x where x is the number of years since 1900 and y is the amount of oysters harvested in metric tons. Oysters (metric tons) 40 30 20 10 20 40 60 80 Years since 1900 a) What does the y-intercept of this function represent? b) Using this model, how many metric tons of oysters were harvested in 1942? Round your answer to the nearest tenth. C e2a0s1n8v tkhuntyap NSOo^fytWwuaarXe^ mlulicu.s w SASlKln XrLiWgnhntSsS ArkeTsge^rWvCeId^.g B SMaa]doek jwqiotchc OISndfgicnBiCtWeI tazligwepbbrxaj H1G. -7-
24) Here is the value of Molly's investment over time: Year Value ($) 3 10,000 7 12,000 10 17,400 14 21,900 17 29,500 19 30,100 This can be modeled by the equation y = 7800 1.08 x where x is the number of years and y is the value in dollars. Value ($) 30000 25000 20000 15000 10000 4 8 12 16 Year a) What does the y-intercept of this function represent? b) According to the model, what was the value of the investment after 12 years? Round your answer to the nearest dollar. Draw a dot plot for each data set. 25) Age Assumed Office Senator Age Senator Age Senator Age Senator Age Senator Age Ron Wyden 46 Maria Cantwell 42 Martin Heinrich 41 Tom Carper 53 Bill Nelson 58 Mike Lee 39 Jeff Merkley 52 Ed Markey 67 Elizabeth Warren 63 Jim Risch 65 Chuck Schumer 48 26) Academy Awards Movie # Awards Movie # Awards Movie # Awards Cavalcade 3 Chariots of Fire 4 Dances with Wolves 7 Rocky 3 Gentleman's Agreement 3 American Beauty 5 You Can't Take It with You 2 Million Dollar Baby 4 West Side Story 10 The Best Years of Our Lives 7 v [2b0O1B8X ^KpuBtWaE isgojf[tiwxarrzeu jl^lsck.l G xaklql_ crui_ghhxtqss yrsens[eerpvmewde.j J ^MHaydHeY IwniBthhI AI^nwfUiOnZiEtleL dawlsgaelbgryac O1u. -8-
Draw a stem-and-leaf plot for each data set. 27) Life Expectancy Country Years Country Years Country Years Tanzania 59 Uruguay 77.3 Central African Rep. 48.5 Cuba 79.4 Fiji 73 Ecuador 76 United Kingdom 81 Trinidad & Tobago 74.8 Brazil 76.2 St. Vincent & the Grenadines 76 Mexico 77.2 Indonesia 72 Angola 52 Madagascar 66 Antigua & Barbuda 75.8 Grenada 76.5 Togo 57 28) Age Assumed Office Senator Age Senator Age Senator Age Senator Age Senator Age Angus King 68 Martin Heinrich 41 Pat Toomey 49 Mazie Hirono 65 Mike Johanns 58 Tom Harkin 45 Mark Begich 46 Amy Klobuchar 46 Elizabeth Warren 63 Sherrod Brown 54 Ron Wyden 46 Marco Rubio 39 Ed Markey 67 John Boozman 60 John Cornyn 50 Draw a box-and-whisker plot for each data set. 29) Age At Inauguration President Age President Age President Age President Age Thomas Jefferson 57 Martin Van Buren 54 Zachary Taylor 64 Gerald Ford 61 Abraham Lincoln 52 George W Bush 54 Benjamin Harrison 55 Barack Obama 47 John F Kennedy 43 Lyndon B Johnson 55 Franklin Pierce 48 James Madison 57 James Monroe 58 Richard Nixon 56 William McKinley 54 Theodore Roosevelt 42 l c2v0u1e8j okcugtnay GSJoMfttPwPacraeK gl\locz.^ O AABlLlS `rqi[g`hqtnsq rrregskekrtv]edd].n o bmhaldxe` KwFiNtFhC sibn\feinnjigtxeo fa]lvgbecbvrfaa e1o. -9-
30) Single Family Home Prices 532,400 527,400 547,000 546,500 536,800 519,800 562,400 546,700 548,900 535,000 550,600 564,800 525,600 542,800 551,700 527,800 532,900 Draw a histogram for each data set. 31) Shoe Size 32) 7 8 7.5 11 8.5 7.5 8.5 6 6.5 7.5 10 5.5 6 8 7 Annual Household Income 20,500 9,600 16,950 26,500 14,100 22,350 26,150 15,600 17,600 16,450 19,600 24,500 16,150 10,450 27,400 11,900 y H2r0]1S8N LKOuqtNap `SLoKfvtew`aErPej VLqLtCk.[ A dajlalk QrBiug[hNtvsw ersezseexrhvheldp.v P zmqa[dfeg rwmiqtlhn \ImnRfWiFnMigtleF dacl\gieqbjr[ai B1P. -10-