Chapter 6 The Standard Deviation as a Ruler and the Normal Model

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Chapter 6 The Standard Deviation as a Ruler and the Normal Model Standardizing with z-scores Expressing data in terms of We standardize to Standardized values can be even if the original variables had different Standardizing into z-scores does not change the of a variable changes the by making the changes the spread by making the z-score: a z-score tells how many standard deviations a value is from the mean; z-scores have a mean of, and a standard deviation of. z = Example(page 106): The men's combined skiing event in the winter olympics consists of two races; a downhill and a slalom. Times for the two events are added together, and the skier with the lowest total time wins. In the 2006 Winter Olympics, the mean slalom time was 94.2714 seconds with a standard deviation, of 5.2844 seconds. The mean downhill time was 101.807 seconds with a standard deviation of 1.8356 seconds. Ted Ligety of the Unites States, who won the gold medal with a combined time of 189.35 seconds, skied the slalom in 87.93 seconds and the downhill in 101.42. On which race did he do better compared with the competition? 1

Example page 107 In the 2006 winter Olympics men's combined event, Ivica Kostelic of Croatia skied the slalom in 89.44 seconds and the downhill on 100.44 seconds. He thus beat Ted Ligety in the downhill, but not the slalom. Considered in standardized scores, which skier did better? Example (page 107): Your statistics teacher has announced that the lower of your two tests will be dropped. You got a 90 on test 1 and an 80 on test 2. You're all set to drop the 80 until she announces grades are "on a curve." She standardized the scores in order to decide which is the lower one. If the mean on the first test was 88 with a standard deviation of 4 and the mean on the second was 75 with a standard deviation of 5 a) Which one will be dropped? b) Does this seam "fair?" shifting: When we shift the data, all measures of position (center, percentiles, min, max) will 2

Rescaling Data: Rescaling data multiplies both the measures of position (mean, median, and quartiles) and the measure of spread (standard deviation and IQR) by that constant. Example page 109 The times in the men's combined event at the winter Olympics are reported in minutes and seconds. Previously, we converted these to seconds and found the mean and standard deviation of the slalom times to be 94.2714 seconds and 5.2844 seconds, respectively. Suppose instead that we had reported the times in minutes-that is, that each individual time was divided by 60. What would the resulting mean and standard deviation be? Mean= Standard Deviation= Example page 110 In 1995 the Educational Testing Service (ETS) adjusted the scores of SAT tests. Before ETS recentered the SAT Verbal test, the mean of all test scores was 450. a) How would adding 50 points to each affect the mean? b) The standard deviation was 100 points. What would the standard deviation be after adding 50 points? c) Suppose we drew boxplots of test takers' scores a year before and a year after the recentering. How would the boxplots of the two years differ? 3

Z-Scores It is not uncommon for at least half the data to have z-scores between A z-score of A z-score of Normal Models: Parameter: We write N(µ, σ) to represent a Normal model with a mean of µ and a standard deviation of σ. Standard Normal Model: z-score is written as Nearly Normal Condition: Check this by making a histogram (or a Normal probability plot) since we usually assume data is normal. The 68-95-99.7 Rule In a normal curve, about standard deviation of the mean, about standard deviations of the mean, and about standard deviations of the mean. 4

How to Sketch a Curve That Looks Normal The Normal Curve is Start at the middle, and sketch to the right from there. Even though the Normal model extends forever on either side, you. After that, there is so little left that it is not worth sketching. The place where the bell shape changes from is exactly one standard deviation away from the mean. Example page 113 In the 2006 Winter Olympics men's combined event, Jean-Babtiste Grange of France skied the slalom in 88.46 seconds-about 1 standard deviation faster than the mean. If a Normal model is useful in describing slalom times, about how many of the 35 skiers finishing the event would you expect skied the slalom faster than Jean-Baptiste? 5

Example (Page 113): As a group, the Dutch are among the tallest people in the world. The average Dutch man is 184 cm tall-just over 6 feet (and the average Dutch woman is 170.8 cm tall-just over 5'7"). If a normal model is appropriate and the standard deviation for men is about 8 cm, what percentage of all Dutch men will be over 2 meters (6'6") tall? Example (page 113): Suppose it takes you 20 minutes, on average, to drive to school, with a standard deviation of 2 minutes. Suppose a Normal model is appropriate for the distribution of driving times. a) How often will you arrive at school in less than 22 minutes? b) How often will it take you more than 24 minutes? c) Do you think the distribution of your driving times is unimodal and symmetric? Normal Percentile The normal percentile corresponding to a gives the percentage of values in a standard normal distribution found Normal Probability Plot A display to help assess whether a If the plot is nearly straight, the data satisfies the 6

Nearly Normal data have A skewed distribution might have a histogram Normal model tips: -Don t use a histogram when -Don t use the mean and standard deviation when outliers are present -Don t round off too soon. -Don t your results in the middle of a calculation. -Don t worry about. 7