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QUESTION 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, and whether the data come from the same people. QUESTION 2 Given Xi = 25, Ni = 5; Xz = 19, Nz = 5, Sx1-Xz = 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 Type II Error, having a small n, and rejecting the Null Hypothesis Type Error.

Name: question 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 61073
Uploaded: 2023-06-15T17:24:47-08:00
Duration: 2 min 35 s
Channel: Numerade
Description: question 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 61073

          QUESTION
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, and whether the data come from the same people.

QUESTION 2
Given Xi = 25, Ni = 5; Xz = 19, Nz = 5, Sx1-Xz = 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 Type II Error, having a small n, and rejecting the Null Hypothesis Type Error.

Added by Tracy C.

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