Exam 11: t(ea) for Two (Again): Tests Between the Means of Related Groups

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What does the t test for dependent samples allow you to examine?

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A t test for independent samples allows you to examine the difference between the means of two groups that are related in some way. For example, you can examine the means from a pretest and posttest for a group of students.

In order to compute the test statistic or t value, you must first approximate the sample size through calculating which of the following?

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C

To determine whether you will reject the null hypothesis, the test statistic must be compared against the:

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B

What is the formula for calculating a t value for a dependent samples test?

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If the obtained value is greater than the critical value, what should you do?

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What does P(T<=t) two-tail represent?

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Consider the following set of conditions: The focus is the difference between scores on a pretest and a posttest, the participants are being tested more than once, and there are two groups. Which test should you use?

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What Excel function requires that you enter the t value, degrees of freedom, and the number of tails?

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What does t stat represent?

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Given the following, what should you conclude? t(24) = 2.001 and tcritical = 1.94

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How many subjects were examined based on the following: t???? = 2.001, p < .05?

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In a t test for dependent samples that examine the difference between a pretest and posttest, what type of hypothesis is used?

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What is another name for a dependent samples t test?

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How many observations are there for each case in a t test for dependent samples?

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What is another term that statisticians use when talking of dependent tests? Explain.

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Which of the following relates to the difference you expect?

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What is the formula used to calculate degrees of freedom for a t test for dependent groups?

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Examining one group of subjects under two different conditions would require what statistical technique?

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In the following, what are the degrees of freedom: t???? = 2.001, p < .05?

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When comparing two groups the term independent explains that:

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