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A chi-square test of significance is being used at level a = 0.01 to determine if there is some relationship between two categorical variables. The following hypotheses are being tested: Ho : There is no relationship between the two variables. Ha : There is some relationship between the two variables. A chi-square test statistic is computed from a two- way table and the P-value is estimated as follows: 0.001 < P < 0.0025. What is the conclusion of the test? The data is significant at level 0.01: we reject the null hypothesis that these variables are unrelated and conclude this data supports the alternative hypothesis that there is some relationship between the two variables. The data is significant at level 0.01: we accept the null hypothesis that these variables are unrelated. The data is not significant at level 0.01: we fail to reject the null hypothesis that these variables are unrelated. The data is not significant at level 0.01: we accept the null hypothesis that these variables are unrelated.

A chi-square test of significance is being used at level a = 0.01 to determine if there is some relationship between two categorical variables. The following hypotheses are being tested: Ho : There is no relationship between the two variables. Ha : There is some relationship between the two variables. A chi-square test statistic is computed from a two- way table and the P-value is estimated as follows: 0.001 < P < 0.0025. What is the conclusion of the test? The data is significant at level 0.01: we reject the null hypothesis that these variables are unrelated and conclude this data supports the alternative hypothesis that there is some relationship between the two variables. The data is significant at level 0.01: we accept the null hypothesis that these variables are unrelated. The data is not significant at level 0.01: we fail to reject the null hypothesis that these variables are unrelated. The data is not significant at level 0.01: we accept the null hypothesis that these variables are unrelated.

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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A chi-square test of significance is being used at level a = 0.01 to determine if there is some relationship between two categorical variables. The following hypotheses are being tested: Ho There is no relationship between the two variables. Ha : There is some relationship between the two variables. A chi-square test statistic is computed from a two- way table and the P-value is estimated as follows: 0.001 < P < 0.0025. What is the conclusion of the test? The data is significant at level 0.01: we reject the null hypothesis that these variables are unrelated and conclude this data supports the alternative hypothesis that there is some relationship between the two variables. The data is significant at level 0.01: we accept the null hypothesis that these variables are unrelated. The data is not significant at level 0.01: we fail to reject the null hypothesis that these variables are unrelated. The data is not significant at level 0.01: we accept the null hypothesis that these variables are unrelated.
Transcribed Image Text:A chi-square test of significance is being used at level a = 0.01 to determine if there is some relationship between two categorical variables. The following hypotheses are being tested: Ho There is no relationship between the two variables. Ha : There is some relationship between the two variables. A chi-square test statistic is computed from a two- way table and the P-value is estimated as follows: 0.001 < P < 0.0025. What is the conclusion of the test? The data is significant at level 0.01: we reject the null hypothesis that these variables are unrelated and conclude this data supports the alternative hypothesis that there is some relationship between the two variables. The data is significant at level 0.01: we accept the null hypothesis that these variables are unrelated. The data is not significant at level 0.01: we fail to reject the null hypothesis that these variables are unrelated. The data is not significant at level 0.01: we accept the null hypothesis that these variables are unrelated.
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