QUESTION 1 One of the differences between the use of a one-sample t-test and z-test is: the population standard deviation the value of N the population mean whether the data come from the same people...


QUESTION 1<br>One of the differences between the use of a one-sample t-test and z-test is:<br>the population standard deviation<br>the value of N<br>the population mean<br>whether the data come from the same people<br>QUESTION 2<br>• Given X, = 25, N, = 5; X2 = 19, N2 = 5, sz, -i, = 2.5 a=0.05, 2 tail.<br>Our conclusion would be:<br>since df = 9, reject the null.<br>since df=8, reject the null<br>since df = 10, retain the null<br>since df =8, retain the null<br>QUESTION 3<br>Setting the alpha level at 0.001 instead of the usual 0.05 increases the likelihood of<br>O Type II Error<br>Having a small n<br>Rejecting the Null Hypothesis.<br>O Type I Error<br>

Extracted text: QUESTION 1 One of the differences between the use of a one-sample t-test and z-test is: the population standard deviation the value of N the population mean whether the data come from the same people QUESTION 2 • Given X, = 25, N, = 5; X2 = 19, N2 = 5, sz, -i, = 2.5 a=0.05, 2 tail. Our conclusion would be: since df = 9, reject the null. since df=8, reject the null since df = 10, retain the null since df =8, retain the null QUESTION 3 Setting the alpha level at 0.001 instead of the usual 0.05 increases the likelihood of O Type II Error Having a small n Rejecting the Null Hypothesis. O Type I Error

Jun 04, 2022
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