8-64. O A random sample of 50 suspension helmets used by motorcycle riders and automobile race-car drivers was subjected to an impact test, and some damage was observed on 18 of these helmets. (a) Find a 95% two-sided confidence interval on the true pro- portion of helmets that would show damage from this test. (b) Using the point estimate of p from the 50 helmets, how many helmets must be tested to be 95% confident that the error in estimating p is less than 0.02? (c) How large must the sample be if we wish to be at least 95% confident that the error in estimating p is less than 0.02 regardless of the true value of p?
8-64. O A random sample of 50 suspension helmets used by motorcycle riders and automobile race-car drivers was subjected to an impact test, and some damage was observed on 18 of these helmets. (a) Find a 95% two-sided confidence interval on the true pro- portion of helmets that would show damage from this test. (b) Using the point estimate of p from the 50 helmets, how many helmets must be tested to be 95% confident that the error in estimating p is less than 0.02? (c) How large must the sample be if we wish to be at least 95% confident that the error in estimating p is less than 0.02 regardless of the true value of p?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:8-64. O A random sample of 50 suspension helmets used
by motorcycle riders and automobile race-car drivers was
subjected to an impact test, and some damage was observed on
18 of these helmets.
(a) Find a 95% two-sided confidence interval on the true pro-
portion of helmets that would show damage from this test.
(b) Using the point estimate of p from the 50 helmets, how
many helmets must be tested to be 95% confident that the
error in estimating p is less than 0.02?
(c) How large must the sample be if we wish to be at least 95%
confident that the error in estimating p is less than 0.02
regardless of the true value of p?
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