Understanding Basic Statistics
Understanding Basic Statistics
7th Edition
ISBN: 9781305254060
Author: Charles Henry Brase, Corrinne Pellillo Brase
Publisher: Cengage Learning
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Chapter 8.2, Problem 19P

19

Critical Thinking: Boxplots and Confidence Intervals The distribution of heights of 18-year-old men in the United States is approximately normal. with mean 68 inches and standard deviation 3 inches (U.S. Census Bureau). In Minitab, we can simulate the drawing of random samples of size 20 from this population (► Cale ► Random Data ► Normal, with 20 rows from a distribution with a mean of 68 and a standard deviation of 3). Then we can have Minitab compute a 95% confidence interval and draw a boxplot of the (► Stat ► Basic Statistics ► 1—Sample t, with boxplot selected in the graphs). The boxplots and confidence intervals for four different samples are shown in the accompanying figures. The four confidence intervals are

VARIABLE N MEAN STDEV SEMEAN 95.0 % CI
Sample 1 20 68.050 2.901 0.649 69.407)
Sample a 20 67.956 3.137 0.702 (66.490 69.426
Sample 3 20 67.976 2.639 0.590 (66.741 , 69.211)
Sample 4 20 66.908 2.440 0.546 (65.766 , 68.050)

(a) Examine the figure (parts (a) to (d)). How do the boxplots for the four samples differ? Why should you expect the boxplots to differ ?

Chapter 8.2, Problem 19P, 19 Critical Thinking: Boxplots and Confidence Intervals The distribution of heights of 18-year-old

(b) Examine the 95% confidence intervals for the four sample shown in the printout. Do the intervals differ in length? Do the intervals all contain the expected population mean of tot inches? If we draw more samples, do you expect all of the resulting 95% confidence intervals to contain µ = 68 ? Why or why not?

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Chapter 8 Solutions

Understanding Basic Statistics

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