QUESTION 19 Which of the following statements about hypothesis testing is true? 1 If the p-value is greater than the significance level, we fail to reject Ho 2 A Type I error is the probability of accepting the null hypothesis when it is actually false 3 If the alternative hypothesis is that the population mean is greater than a specıfied value two-tailed test 4 The significance level equals one minus the probabılity of a Type I error 5 None of the above statements are true

QUESTION 19 Which of the following statements about hypothesis testing is true? 1 If the p-value is greater than the significance level, we fail to reject Ho 2 A Type I error is the probability of accepting the null hypothesis when it is actually false 3 If the alternative hypothesis is that the population mean is greater than a specıfied value two-tailed test 4 The significance level equals one minus the probabılity of a Type I error 5 None of the above statements are true

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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Suppose a hypothesis test was performed with a level of significance of 0.05. Then if the null hypothesis is actually true, then there is a 5% chance that the researcher will end up rejecting the null hypothesis in error. True False
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A hypothesis test is performed at significance level a=0.05: The p-value is found to be 0.001. What can we conlcude? O Our dataset and statistical test proves that the null hypothesis it true. O The statistical test in inconclusive, and the dataset is neither evidence for or against any hypothesis. O none of these O Our dataset and statistical test leads us to believe the null hypothesis is true, but we cannot say for sure. Our dataset is evidence in support of the null hypothesis. O Our dataset and statistical test leads us to reject the null hypothesis. Our data is statistically significant evidence against the null hypothesis. O Our dataset and statistical test proves that the null hypothesis it false.
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This is the result of Chi Square test between 2 variables: gender and length of service. If the Null Hypothesis is stated as "There is no significant association between gender and length of service", then table above will clearly allow us to conclude that "there is no significant association between gender and length of service". A. True B. False
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