Exam 12: 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.

Given the following, what should you conclude? t???? = 2.001 and tc??t?c?l = 1.94

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Conclusion: Reject the null hypothesis and accept the research hypothesis.

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

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What is another name for a dependent samples t test?

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What does the Excel function TTEST compute?

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Explain the difference between a test of dependent and independent means.

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In order to be 99% confident you have not committed a Type I error, at what level should you set your p value?

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

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In the formula that computes a t value, what does n?D represent?

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

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

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What does t critical one-tail represent?

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

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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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Which of the following represents degrees of freedom?

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To compute the test statistic or t value you must first approximate the sample size through calculating the?

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Which of the following relates to the difference you expect?

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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 is the test statistic calculated by the statistical procedure selected known as?

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