Samples of size 2 200- Samples of size 5 150- 100어 100- 50- 28 Sample Mean Waist Size 0- 30 Sample Mean Waist Size 42 Samples of size 10 200- Samples of size 20 200- 100- 100- 32 Sample Mean Waist Size 32 Sample Mean Waist Size #of Samples # of Samples # of Samples # of Samples
Samples of size 2 200- Samples of size 5 150- 100어 100- 50- 28 Sample Mean Waist Size 0- 30 Sample Mean Waist Size 42 Samples of size 10 200- Samples of size 20 200- 100- 100- 32 Sample Mean Waist Size 32 Sample Mean Waist Size #of Samples # of Samples # of Samples # of Samples
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
A study measured the waist size of 970 men, finding a mean of 36.33 inches and a standard deviation of
3.91 inches. A histogram of these measurements is shown to the right.
a) Describe the histogram of the waist sizes.
b) To explore variation of the mean from sample to sample, they simulated by drawing many samples of size 2, 5, 10, and 20 with replacement, from the 970 measurements. The histograms for each simulation are shown in the accompanying table. Explain how these histograms demonstrate what the Central Limit Theorem says about the sampling distribution model for sample means.
a) Choose the correct answer below.
A. The histogram is skewed to the right.
b) These simulations ▼(appear/do not appear) to demonstrate what the Central Limit Theorem says about the sampling distribution model for sample means. All of the histograms are centered near 36 inches. As n gets larger, the histograms ▼ (become less Normal/ stay approximately the same/approach the Normal shape), and the variability in the sample means ▼ (stays approximately the same/ decreases/ increases. The histograms ▼ (are fairly Normal? are skewed left/ are skewed right by the time the sample reaches size 5.
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