The breaking strength of a rivet has a mean value of 10,050 psi and a standard deviation of 503 psi. IA USE SALT (a) What is the probability that the sample mean breaking strength for a random sample of 40 rivets is between 9,950 and 10,250? (Round your answer to four decimal places.) (b) If the sample size had been 15 rather than 40, could the probability requested in part (a) be calculated from the given information? Explain your reasoning. O Yes, the probability in part (a) can still be calculated from the given information. No, n should be greater than 30 in order to apply the Central Limit Theorem. ONo, n should be greater than 20 in order to apply the Central Limit Theorem. ONo, n should be greater than 50 in order to apply the Central Limit Theorem. You may need to use the appropriate table in the Appendix of Tables to answer this question.
The breaking strength of a rivet has a mean value of 10,050 psi and a standard deviation of 503 psi. IA USE SALT (a) What is the probability that the sample mean breaking strength for a random sample of 40 rivets is between 9,950 and 10,250? (Round your answer to four decimal places.) (b) If the sample size had been 15 rather than 40, could the probability requested in part (a) be calculated from the given information? Explain your reasoning. O Yes, the probability in part (a) can still be calculated from the given information. No, n should be greater than 30 in order to apply the Central Limit Theorem. ONo, n should be greater than 20 in order to apply the Central Limit Theorem. ONo, n should be greater than 50 in order to apply the Central Limit Theorem. You may need to use the appropriate table in the Appendix of Tables to answer this question.
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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