The breaking strengths of cables produced by a certain manufacturer have a mean, u, of 1775 pounds, and a standard deviation of 95 pounds. It is claimed that an improvement in the manufacturing process has increased the mean breaking strength. To evaluate this claim, 20 newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be 1796 pounds. Assume that the population is normally distributed. Can we support, at the 0.1 level of significance, the claim that the mean breaking strength has increased? (Assume that the standard deviation has not changed.) Perform a one-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places, and round your responses as specified in the table. The null hypothesis: Н Н The alternative hypothesis: 口Sロ The type of test statistic: (Choose one) ロロ O
The breaking strengths of cables produced by a certain manufacturer have a mean, u, of 1775 pounds, and a standard deviation of 95 pounds. It is claimed that an improvement in the manufacturing process has increased the mean breaking strength. To evaluate this claim, 20 newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be 1796 pounds. Assume that the population is normally distributed. Can we support, at the 0.1 level of significance, the claim that the mean breaking strength has increased? (Assume that the standard deviation has not changed.) Perform a one-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places, and round your responses as specified in the table. The null hypothesis: Н Н The alternative hypothesis: 口Sロ The type of test statistic: (Choose one) ロロ O
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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