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1. The researcher can only make one claim on either the null hypothesis or the alternative hypothesis in the traditional method of hypothesis testing. 2. If the sample value fall in the critical region, the alternative hypothesis is rejected. 3. A confidence interval is a range of values used to estimate the true

1. The researcher can only make one claim on either the null hypothesis or the alternative hypothesis in the traditional method of hypothesis testing. 2. If the sample value fall in the critical region, the alternative hypothesis is rejected. 3. A confidence interval is a range of values used to estimate the true

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. The researcher can only make one claim on either the null hypothesis or the alternative hypothesis in the traditional method of hypothesis testing. 2. If the sample value fall in the critical region, the alternative hypothesis is rejected. 3. A confidence interval is a range of values used to estimate the true value of a sample statistic. 4. If a sample mean is in the critical region with a = 0.05, it would still be in the critical region even if the alpha was changed to a = 0.01. 5. If a researcher obtains a test score of z = 2.5 for a hypothesis test using a = for a right-tailed test, however, the researcher should not reject the null hypothesis for a two-tailed test. 0.01, then the researcher should reject the null hypothesis 6. The z test formula uses the sample standard deviation while the t test formula uses the population standard deviation. 7. The critical t value(s) depends on the degrees of freedom associated with the t test value. 8. A type I error occurs when a researcher unknowingly obtains an extreme non-representative example.
Transcribed Image Text:1. The researcher can only make one claim on either the null hypothesis or the alternative hypothesis in the traditional method of hypothesis testing. 2. If the sample value fall in the critical region, the alternative hypothesis is rejected. 3. A confidence interval is a range of values used to estimate the true value of a sample statistic. 4. If a sample mean is in the critical region with a = 0.05, it would still be in the critical region even if the alpha was changed to a = 0.01. 5. If a researcher obtains a test score of z = 2.5 for a hypothesis test using a = for a right-tailed test, however, the researcher should not reject the null hypothesis for a two-tailed test. 0.01, then the researcher should reject the null hypothesis 6. The z test formula uses the sample standard deviation while the t test formula uses the population standard deviation. 7. The critical t value(s) depends on the degrees of freedom associated with the t test value. 8. A type I error occurs when a researcher unknowingly obtains an extreme non-representative example.
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