Exam 16: Frequency Distribution,hypothesis Testing,and Cross-Tabulation

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In a frequency distribution,two variables are considered at a time.

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The ________ is a good measure of location when the variable is inherently categorical or has otherwise been grouped into categories.

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D

If the distribution is asymmetric and the variable is measured on a nominal scale,the ________ should be used as a measure of location.

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________ occurs when the sample results lead to nonrejection of a null hypothesis that is in fact false.

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The difference between the smallest and largest values of a distribution is called the variance.

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A statistic that indicates the distribution's dispersion is called measures of variability.

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________ is the square root of the variance and is expressed in the same units as the data.

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According to the text,which of the following represents the highest peak of the distribution?

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The null hypothesis is always the hypothesis that is tested,but can never be accepted based on a single test.

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A frequency distribution for a variable produces ________.

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According to the text,accepting the alternative hypothesis will lead to changes in opinions or actions.

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In a short essay,define cross-tabulation and discuss the three primary reasons cross-tabulation is widely used in commercial marketing research.

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Many marketing research projects do not go beyond basic data analysis.

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In a short essay,discuss measures of variability as they are associated with frequencies.Include a discussion of range,variance,and standard deviation.

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The mean,mode,and median are associated with the measures of location of frequency distribution.

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Which of the following is NOT a statistic that is associated with the measures of location of frequency distribution?

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If the distribution is asymmetric,which measure of location is most appropriate if the data is in a nominal scale? If it is in an ordinal scale? If it is in an interval or ratio scale?

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The value of the test statistic that divides the rejection and nonrejection regions is called the critical value.

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The power of a test is the probability of accepting the null hypothesis when it is in fact true and should be accepted.

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A test of the null hypothesis where the alternative hypothesis is not expressed directionally is called a one-tailed test.

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