Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables

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One way to test the significance of contingency tables is by means of the chi-square test.

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Explain what an independent samples t-test is and the null hypothesis examined.

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Practically speaking,what is the first thing a researcher should do when interpreting ANOVA results?

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Another name for a cross-tabulation is:

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The F-distribution is a function of:

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Explain what a Z-test for comparing two proportions is and the appropriate null hypothesis.

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In a brand awareness study,if 25 of a group of 35 males identify the brand correctly and 15 of a group of 35 females identify this brand correctly,the chi-square value for this study is approximately:

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Which test should be used when comparing the means of three groups to see if they are significantly different from one another?

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A test of a hypothesis to determine if two groups differ with respect to the scores on one variable is called a(n)____________________.

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In using the t-test to compare the means of two groups,the degrees of freedom are:

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An appropriate test for comparing the scores of two interval variables drawn from related populations is the ____________________.

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The null hypothesis when using the Z-test for the differences between the proportions of two groups is that ____________________.

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A statistical test that is used often in marketing research tests the difference between two groups in terms of some behavior (e.g.attitude toward a brand).

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The alternative hypothesis when using the Z-test for the difference between the proportions for two groups is:

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In a study comparing the means of two groups in which there are 45 males in Group 1 and 37 females in Group 2,the degrees of freedom for this study when using the t-test for the difference between means is:

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