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A research study compares the mean weight for a sample of n = 36 participants before they begin a dieting routine diet to their mean weight six weeks later. This is an example of an independent-measures design.

Conceptually, the independent samples t test equation assesses the ratio of the actual difference between two sample means relative to how much difference should exist, on average, between two sample means when the null hypothesis is true.

If other factors are held constant, which set of sample characteristics is most likely to produce a statistically significant t statistic?

Two samples from the same population both have n = 10 scores with M = 45. If the t statistic is computed for each sample, then what is the relationship between the two t values?

The alpha level determines the risk of a Type II error.

If n = 57 for a two-tailed hypothesis test in which a t-test should be utilized, which df value should be referenced when using the abridged t distribution table in the textbook in order to set the critical t values for the hypothesis test?

A confidence interval is a range of values centered around a sample statistic.

If other factors are held constant, which set of sample characteristics is most likely to produce a statistically significant t statistic?

If n = 57 for a two-tailed hypothesis test in which a t-test should be utilized, which df value should be referenced when using the abridged t distribution table in the textbook in order to set the critical t values for the hypothesis test?

Which of the following is consistent with what r2 represents as a measure of effect size?