Exam 22: Bivariate Statistical Analysis: Differences Between Two Variables

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In comparing the difference of the means between two groups,the null hypothesis can also be stated as:

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A pooled estimate of the standard error is a poorer estimate of the standard error than one based on the variance from either sample.

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In practice,t-test results are commonly calculated by hand because they are so simple.

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When two variables are studied simultaneously in a research study,this is called ____________________ statistical analysis.

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In using the t-test to compare the means of two groups,the alternative hypothesis is typically stated as:

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The chi-square test tests the significance of the data in an R X C contingency table in which R stands for row and C stands for column.

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The t-test assumes that the two population variances are equal.

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The sum of the differences between observed values and the group mean for a given set of observations is known as the:

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Suppose that you wanted to determine if the males in your sales force differed from the females in your sales force in the proportion of sales that they made to mass merchandiser chains.Your data show that the 80 males had 40% of their sales to these chains,while the 60 females had 25% of their sales to these chains.For these data,the standard error of the difference in proportions is approximately:

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The formula given below represents the method for calculating the: The formula given below represents the method for calculating the:

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The independent samples t-test tests the differences between means taken from two independent samples or groups.

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The formula for the chi-square test uses:

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To use the chi-square test,both variables in a 2 x 2 contingency table must be measured on a ratio scale.

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List the practical steps for interpreting t-test results.

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The ____________________ is the mean of a variable over all observations.

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The statistical test that is used to compare the sample variance with another sample variance is the ____________________.

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The chi-square test requires the researcher to compare the observed frequencies of the groups with the expected frequencies of the groups.

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The total mean is the mean of a variable over all observations.

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When a researcher needs to compare means for a variable grouped into two categories based on some less-than interval variable,a(n)____________________ test is appropriate.

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A redundant-sample t-test is an appropriate test for comparing the scores of two interval drawn from related populations.

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