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1. True or False....A t-test for Independent Samples is more likely to detect a significant difference than a Paired Samples test when both are done

1. True or False....A t-test for Independent Samples is more likely to detect a significant difference than a Paired Samples test when both are done properly.

2. True or False.....When testing for differences between the means of 2 related populations (i.e., paired samples), we can use either a one-tailed or two-tailed test.

3. True or False.....When testing for a difference in the means of two samples that are of equal size, the Paired Samples test must be used.

4. True or False....If we need to compare the mean of several groups to each other, we can do many t-tests or a single ANOVA. One of the advantages of using ANOVA is that it reduces the probability of a Type I error.

5. One of the advantages of using a Paired Samples t-test instead of an Independent Samples t-test is that:

A. We can use the test with unequal samples.

B. We can do upper and lower tail testing.

C. We can find significant results with smaller samples.

D. There are no advantages to using Paired Samples tests.

6. True or False....When we test for differences between the means of 2 independent populations, we can only use a two-tailed test.

7. We can statistically prove a null hypothesis to be:

A. True

B. False

C. Sometimes true, sometimes false

D. Neither true nor false

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