Exam 15: Frequency Distribution,cross-Tabulation,and Hypothesis Testing

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The tendency of the deviations from the mean to be larger in one direction than in the other is called ________.

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C

________ are hypothesis testing procedures that assume that the variables of interest are measured on at least an interval scale.

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B

Paired samples are two samples that are not experimentally related.

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False

For the parametric case,involving proportions for two independent samples,the null and alternative hypotheses are ________.

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Hypothesis tests can be related to ________.

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The null hypothesis,H0,when using the chi-square statistic,is that there is no association between the variables.

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

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An asymmetrical lambda value of 1 happens when each independent variable category is associated with a single category of the dependent variable.

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The mean squared deviation of all the values from the mean is the ________.

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When conducting marketing research,what general rules should be followed to determine when the different measures of location should be used?

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For a given level of α,increasing the sample size will decrease β,thereby increasing the power of the test.

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When calculating the standard deviation,we divide by n-1 because the sample is drawn from a population and we are trying to determine how much the responses vary from the mean of the entire population.

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If the population standard deviation was assumed to be known,rather than estimated from the sample,a ________ would be appropriate rather than a ________.

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Nonparametric tests are used when the independent variables are nonmetric.

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Which test is not an independent samples test?

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A cross-tabulation is the merging of the frequency distribution of two or more variables in a single table to help us to understand how one variable relates to another variable.

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Nonparametric tests are not available in ________.

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The ________ tests the goodness of fit of the observed number of observations in each category to the number expected under a specified binomial distribution.

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In determining the critical value of the test statistic,the area to the right of the critical value is either α or α/2.It is α for a one-tail test and α/2 for a two-tail test.

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The chi-square statistic can be estimated on counts of data or on percentages.

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