Exam 8: Data Analysis and Statistical Methods: Univariate and Bivariate Analyses

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The effects of sample size can be corrected for by taking the SSXY value for variables X and Y and _______________ to calculate the "covariance."

(Multiple Choice)
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The linear correlation coefficient measures the

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Normal distributions are bimodal.

(True/False)
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Simple regression is appropriate for determining how

(Multiple Choice)
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In a regression equation,the slope indicates the

(Multiple Choice)
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A "two-tailed test" is used to test the alternative hypothesis that a sample statistic is less than a particular value.

(True/False)
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The appropriate measure of dispersion for interval data is

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Because hypotheses are always tested with data from a sample,there will always be some sampling error.

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In general,the degrees of freedom (df )is the size of the sample (n)

(Multiple Choice)
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The _______________ is an appropriate measure of central tendency for interval data and is by far the most widely used measure in all of statistics.

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In hypothesis testing,the null hypothesis is stated as a population parameter being

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In examining the relationship between two variables,if r = -1,then the relationship is

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The median is not applicable for

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Relative and absolute frequencies are appropriate measures of dispersion for nominal data.

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Bivariate analysis would be needed to answer all of the following questions except:

(Multiple Choice)
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The power of a hypothesis test is described as the probability of

(Multiple Choice)
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In hypothesis testing,the Greek letter beta ( β\beta )refers to

(Multiple Choice)
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For questions #20 through 24 relate back to this situation: A product manager is concerned with whether or not her product's share is equal to 25 percent of the market. A sample of 35 data points yields a sample proportion equal to 38 percent. -What would be the numerator of the inferential statistical test for the hypothesis in question #20?

(Multiple Choice)
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What is the power of the test and how does it relate to error?

(Essay)
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A researcher will set the maximum tolerable degree of Type I error,which is referred to as the

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