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1 In a goodness-of-fit-test, suppose that the value of the test statistic is 13.08 and degrees of freedom = 6. At the 5% significance level, the null hypothesis is: A rejected, and p-value for the test is smaller than 0.05. B not rejected, and p-value for the test is greater than 0.05. rejected, and p-value for the test is greater than 0.05. D not rejected, and p-value for the test is smaller than 0.05. None of the suggested answers are correct.

1 In a goodness-of-fit-test, suppose that the value of the test statistic is 13.08 and degrees of freedom = 6. At the 5% significance level, the null hypothesis is: A rejected, and p-value for the test is smaller than 0.05. B not rejected, and p-value for the test is greater than 0.05. rejected, and p-value for the test is greater than 0.05. D not rejected, and p-value for the test is smaller than 0.05. None of the suggested answers are correct.

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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1 In a goodness-of-fit-test, suppose that the value of the test statistic is 13.08 and degrees of freedom = 6. At the 5% significance level, the null hypothesis is: A rejected, and p-value for the test is smaller than 0.05. not rejected, and p-value for the test is greater than 0.05. rejected, and p-value for the test is greater than 0.05. not rejected, and p-value for the test is smaller than 0.05. E None of the suggested answers are correct. 2 In a multiple regression model, the adjusted R-Square A cannot be negative. CS Scanned with CamScanner
Transcribed Image Text:1 In a goodness-of-fit-test, suppose that the value of the test statistic is 13.08 and degrees of freedom = 6. At the 5% significance level, the null hypothesis is: A rejected, and p-value for the test is smaller than 0.05. not rejected, and p-value for the test is greater than 0.05. rejected, and p-value for the test is greater than 0.05. not rejected, and p-value for the test is smaller than 0.05. E None of the suggested answers are correct. 2 In a multiple regression model, the adjusted R-Square A cannot be negative. CS Scanned with CamScanner
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