c) In a study 25 of the company’s jet engine workers were interviewed to determine the proportion that were specialists in their field. It was found that seven (7) of the workers from the group were specialist in their field. (i) i) What is an unbiased estimate for the population proportion of the company’s workers who are specialist in their field? ii) Provide a 90% confidence interval for the true population proportion of specialist workers. iii) Assuming a 95% level of confidence, how many workers (sample size) should be interviewed if the true population proportion is to be estimated with an error not exceeding 0.04?
c) In a study 25 of the company’s jet engine workers were interviewed to determine the proportion that were specialists in their field. It was found that seven (7) of the workers from the group were specialist in their field. (i) i) What is an unbiased estimate for the population proportion of the company’s workers who are specialist in their field? ii) Provide a 90% confidence interval for the true population proportion of specialist workers. iii) Assuming a 95% level of confidence, how many workers (sample size) should be interviewed if the true population proportion is to be estimated with an error not exceeding 0.04?
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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c) In a study 25 of the company’s jet engine workers were interviewed to determine the proportion that were specialists in their field. It was found that seven (7) of the workers from the group were specialist in their field. (i) i) What is an unbiased estimate for the population proportion of the company’s workers who are specialist in their field?
ii) Provide a 90% confidence interval for the true population proportion of specialist workers.
iii) Assuming a 95% level of confidence, how many workers (
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