**3. Stainless steels can be susceptible to stress corrosion cracking under certain conditions. A materials engineer is interested in determining the proportion of steel alloy failures that are due to stress corrosion cracking.**a. In the absence of preliminary data, how large a sample must be taken so as to be sure that a 98% confidence interval will specify the proportion to within ±0.05? Round up the answer to the nearest integer.b. In a sample of 200 failures, 30 of them were caused by stress corrosion cracking. Find a 98% confidence interval for the proportion of failures caused by stress corrosion cracking. Round the answers to three decimal places.c. Based on the data in part (b), estimate the sample size needed so that the 95% confidence interval will specify the proportion to within ±0.03. Round up the answer to the nearest integer.

Answered: Image /qna-images/answer/db832e4f-21dc-4652-b568-a99a91c26c2e.jpg

Answered: 3. Stainless steels can be susceptible…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1. The impact rebound values of n=15 pieces of rock, randomly selected from a large geological formation, have a standart deviation of 0.012. Assuming that these measurements can be looked upon as a sample from a normal population , construct a %95 confidence interval for 6, the standart deviation of the population sampled
In a study of government financial aid for college students, it becomes necessary to estimate the percentage of full-time college students who earn a bachelor's degree in four years or less. Find the sample size needed to estimate that percentage. Use a 0.02 margin of error and use a confidence level of 95%. Complete parts (a) through (c) below. a. Assume that nothing is known about the percentage to be estimated. (Round up to the nearest integer.) b. Assume prior studies have shown that about 40% of full-time students earn bachelor's degrees in four years or less. (Round up to the nearest integer.) c. Does the added knowledge in part (b) have much of an effect on the sample size? O A. Yes, using the additional survey information from part (b) dramatically reduces the sample size. O B. No, using the additional survey information from part (b) only slightly reduces the sample size. O C. Yes, using the additional survey information from part (b) only slightly increases the sample size. O…
In a study of government financial aid for college students, it becomes necessary to estimate the percentage of full-time college students who eam a bachelor's degree in four years or less Find the sample size needed to estimate that percentage. Use a 0.04 margin of error and use a confidence level of 90%. Complete parts (a) through (c) below. a. Assume that nothing is known about the percentage to be estimated. (Round up to the nearest integer.) b. Assume prior studies have shown that about 55% of full-time students eam bachelor's degrees in four years or less. (Round up to the nearest integer.) c. Does the added knowledge in part (b) have much of an effect on the sample size? OA No, using the additional survey information from part (b) does not change the sample size. OB. Yes, using the additional survey information from part (b) dramatically reduces the sample size. OC Yes, using the additional survey information from part (b) only slightly increases the sample size. OD. No, using…
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In a study of government financial aid for college students, it becomes necessary to estimate the percentage of full-time college students who earn a bachelor's degree in four years or less. Find the sample size needed to estimate that percentage. Use a 0.03 margin of error and use a confidence level of 90%. Complete parts (a) through (c) below. a. Assume that nothing is known about the percentage to be estimated. (Round up to the nearest integer.) b. Assume prior studies have shown that about 40% of full-time students earn bachelor's degrees in four years or less. n=D (Round up to the nearest integer.) c. Does the added knowledge in part (b) have much of an effect on the sample size? O A. No, using the additional survey information from part (b) does not change the sample size. O B. Yes, using the additional survey information from part (b) only slightly increases the sample size O C. Yes, using the additional survey information from part (b) dramatically reduces the sample size. O D.…
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What does brand loyalty mean to consumers? According to a recent research report, 38% of consumers associate trust with brand loyalty. Complete parts (a) through (e) below. To conduct a follow-up study that would provide 99% confidence that the point estimate is correct to within ±0.04 of the population proportion, how many people need to be sampled? A sample size of __ consumers is needed.

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