Exam 17: Hypothesis Testing Related to Differences

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The t statistic is calculated by assuming that all of the following exists EXCEPT:

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If the probability of F is greater than the significance level α, ________ and ________ should be used.

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According to the text, samples drawn randomly from different populations are termed independent samples.

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The critical values for a two-tailed z-test, given a significance level of 0.05, would be ________.

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In its simplest form, ANOVA must have a(n) ________ that is metric.

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The sum of squares divided by the appropriate degrees of freedom is called the F statistic.

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A t-test of sample variance may be performed if it is not known whether the two populations have equal variance.

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Procedures for examining differences between more than two means are called ________.

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Eta² is the correlation between two variables.

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According to the text, samples drawn randomly from different populations are termed ________.

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In a short essay, discuss t-test, the t statistic, and the t distribution.

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In many marketing research applications, the observations for two groups are not selected from independent samples. Rather, the observations relate to paired samples in that the two sets of observations relate to the same respondents.

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The categorical independent variables used in an analysis of variance are called factors.

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A frequency distribution that depends on two sets of degrees of freedom is called a(n) ________.

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In a short essay, discuss analysis of variance and list at least three questions that relate to the examination of the differences in the mean values of more than two groups.

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________ involves only one categorical variable, or a single factor that defines the different samples or groups.

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According to the text, hypotheses related to differences in population means if the population variance is unknown can be tested using the ________.

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Which would be the appropriate way to test differences in proportions for more than two samples?

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A frequency distribution that depends on two sets of degrees of freedom is called an F distribution.

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For a large sample size, the t distribution approaches the normal distribution. Thus, the t-test and the z-test are equivalent.

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