Repeat Exercise 23 Analysis of Last Digits using 10,000 bootstrap samples instead of 1000 What happens Repeat Exercise 23 Weights of respondents were recorded as part of the California Health Interview Survey The last digits of weights from 50 randomly selected respondents are listed below a Use the bootstrap method with 1000 bootstrap samples to find a 95 confidence interval estimate of b Find the 95 confidence interval estimate of s found by using the methods of Section 7 3 c Compare the results If the two confidence intervals are different, which one is better Why 5 0 1 0 2 0 5 0 5 0 3 8 5 0 5 0 5 6 0 0 0 0 0 0 8 5 5 0 4 500 4000008095 305 000 5 8

Question: Repeat Exercise 23 Analysis of Last Digits using 10,000 bootstrap samples instead of 1000. What happens? Repeat Exercise 23 Weights of respondents were recorded as

Repeat Exercise 23 “Analysis of Last Digits” using 10,000 bootstrap samples instead of 1000. What happens?

Repeat Exercise 23

Weights of respondents were recorded as part of the California Health Interview Survey. The last digits of weights from 50 randomly selected respondents are listed below.

5 0 1 0 2 0 5 0 5 0 3 8

a. Use the bootstrap method with 1000 bootstrap samples to find a 95% confidence interval estimate of σ.

b. Find the 95% confidence interval estimate of s found by using the methods of Section 7-3.

c. Compare the results. If the two confidence intervals are different, which one is better? Why?

5 0 1 0 2 0 5 0 5 0 3 8 5 0 5 0 5 6 0 0 0 0 0 0 8 5 5 0 4 500 4000008095 305 000 5 8

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Solution a Let the last digit of the weight of each bootstrap sample be denoted by w For example if s 360 then in one bootstrap sample we have w 8 in ... View full answer

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