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2.2 Classroom Examples
1. Batting Averages
In the previous alternate example about batting averages for Major League Baseball players in
2009, the mean of the 432 batting averages was 0.261 with a standard deviation of 0.034.
Suppose that the distribution is exactly Normal with  = 0.261 and  = 0.034.
Problem:
(a) Sketch a Normal density curve for this distribution of batting averages. Label the points that
are 1, 2, and 3 standard deviations from the mean.
(b) What percent of the batting averages are above 0.329? Show your work.
(c) What percent of the batting averages are between 0.227 and .295? Show your work.
2. Finding Area to the Right
Suppose we wanted to find the proportion of observations in a Normal distribution that were
more than 1.53 standard deviations above the mean. That is, we want to know what proportion
of observations in the standard Normal distribution are greater than z = 1.53.
3. Finding areas under the standard Normal curve
Problem: Find the proportion of observations from the standard Normal distribution that are
between -0.58 and 1.79.
4. Working backward
In a standard Normal distribution, 20% of the observations are above what value?
5. Serving Speed
In the 2008 Wimbledon tennis tournament, Rafael Nadal averaged 115 miles per hour (mph) on
his first serves1. Assume that the distribution of his first serve speeds is Normal with a mean of
115 mph and a standard deviation of 6 mph. About what proportion of his first serves would you
expect to exceed 120 mph?
6. Serving Speed (continued)
What percent of Rafael Nadal’s first serves are between 100 and 110 mph?
7. Heights of three-year-old females
According to http://www.cdc.gov/growthcharts/, the heights of 3 year old females are
approximately Normally distributed with a mean of 94.5 cm and a standard deviation of 4 cm.
What is the third quartile of this distribution?
The Practice of Statistics for AP*, 4/e
© BFW Publishers 2011
8. No Space in the Fridge?
The measurements listed below describe the useable capacity (in cubic feet) of a sample of 36
side-by-side refrigerators. <source: Consumer Reports, May 2010> Are the data close to
Normal?
12.9 13.7 14.1 14.2 14.5 14.5 14.6 14.7 15.1 15.2 15.3 15.3
15.3 15.3 15.5 15.6 15.6 15.8 16.0 16.0 16.2 16.2 16.3 16.4
16.5 16.6 16.6 16.6 16.8 17.0 17.0 17.2 17.4 17.4 17.9 18.4
9. State land areas
Problem: The histogram and Normal probability plot below display the land areas for the 50
states. Is this distribution approximately Normal?
10. NBA free throw percentage
This is an example of a distribution that is skewed to the left. Notice that the lowest free throw
percentages are too the left of what we would expect and the highest free throw percentages are
not as far to the right as we would expect.
The Practice of Statistics for AP*, 4/e
© BFW Publishers 2011
The Practice of Statistics for AP*, 4/e
© BFW Publishers 2011