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• Give an example of each of the kinds of hypotheses for a dependent samples t-t

ID: 3310794 • Letter: #

Question

• Give an example of each of the kinds of hypotheses for a dependent samples t-test:
A. Null:
B. Non-directional research:
C. Directional research:
• For each of the hypotheses above, identify whether you would use a one-tailed or two-tailed test.


• Give an example of each of the kinds of hypotheses for a dependent samples t-test:
A. Null:
B. Non-directional research:
C. Directional research:
• For each of the hypotheses above, identify whether you would use a one-tailed or two-tailed test.



A. Null:
B. Non-directional research:
C. Directional research:
• For each of the hypotheses above, identify whether you would use a one-tailed or two-tailed test.


Explanation / Answer

A) Null Hypothesis : A t-test is often used to compare the difference between two means that are based on samples. The samples come from populations. In that context, the test's statistical power is the probability that you will conclude that the two population means are different when they are different.  

Two-tail

B) Non directional research : When you make a nondirectional alternative hypothesis to guide your t-test, you state that the population means of the two groups are different. You do not specify which mean you expect to be greater than the other.The effect of using a nondirectional hypothesis is to divide the alpha—the probability of rejecting a true null hypothesis—between the two tails of the t distribution.

Two-tail

C) Directional research : with a directional hypothesis, you don’t have to get a mean difference as large as you do with a nondirectional hypothesis in order to reject the null hypothesis. That's another way of saying that the power of the t-test is greater when you use a directional hypothesis.

One-tail