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Analysis ora random sample consisting of strengths resulted in a sample average strength of is 29.8 ksi. A second random sample of n = 2 two-sided galvanized steel specimens gave a sample average strength of 34.7 ksi. Assuming tha the two yield-strength distributions are normal with ơ1 = 4.0 and o2 = 5.0 (suggested by a graph i the article "Zinc-Coated Sheet Steel: An Overview," Automotive Engr., Dec. 1984: 39-43), doe the data indicate that the corresponding true average yield strengths Pi and p2 are different Perform the test of hypothesis at significance level a = .01. 20 specimens of cold-rolled steel to determine yiel

Analysis ora random sample consisting of strengths resulted in a sample average strength of is 29.8 ksi. A second random sample of n = 2 two-sided galvanized steel specimens gave a sample average strength of 34.7 ksi. Assuming tha the two yield-strength distributions are normal with ơ1 = 4.0 and o2 = 5.0 (suggested by a graph i the article "Zinc-Coated Sheet Steel: An Overview," Automotive Engr., Dec. 1984: 39-43), doe the data indicate that the corresponding true average yield strengths Pi and p2 are different Perform the test of hypothesis at significance level a = .01. 20 specimens of cold-rolled steel to determine yiel

MATLAB: An Introduction with Applications
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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Hypothesis Testing
1. Analysis of a random sample consisting of m = 20 specimens of cold-rolled steel to determine yield strengths resulted in a sample average strength of is 29.8 ksi. A second random sample of n = 25 two-sided galvanized steel specimens gave a sample average strength of 34.7 ksi. Assuming that the two yield-strength distributions are normal with o1 = 4.0 and o2 = 5.0 (suggested by a graph in the article "Zinc-Coated Sheet Steel: An Overview," Automotive Engr., Dec. 1984: 39-43), does the data indicate that the corresponding true average yield strengths Pi and p2 are different? Perform the test of hypothesis at significance level a = .01.
Transcribed Image Text:1. Analysis of a random sample consisting of m = 20 specimens of cold-rolled steel to determine yield strengths resulted in a sample average strength of is 29.8 ksi. A second random sample of n = 25 two-sided galvanized steel specimens gave a sample average strength of 34.7 ksi. Assuming that the two yield-strength distributions are normal with o1 = 4.0 and o2 = 5.0 (suggested by a graph in the article "Zinc-Coated Sheet Steel: An Overview," Automotive Engr., Dec. 1984: 39-43), does the data indicate that the corresponding true average yield strengths Pi and p2 are different? Perform the test of hypothesis at significance level a = .01.
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