Exam 12: Using Basic Descriptive Analysis, Performing Population Estimates, and Testing Hypotheses

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Finding significant differences is exciting to marketing researchers because it means that the researcher will have something that is potentially very useful to report to the client.

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ANOVA is much more efficient and convenient than:

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Market segmentation is very prevalent,and whenever significant differences are found,they may:

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________ is the assumption of equal variances between two samples for differences testing.

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A paired samples test for the difference between two means is not used for segmentation purposes.

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Market segmentation holds that different types of consumers have different requirements,and these differences can be the bases of marketing strategies.

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In order to be potentially useful for a marketing manager,differences must at minimum be:

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With a differences test,the null hypothesis states there are significant differences between the percentages(or means)being compared.

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A measurable difference is one that the marketing manager can potentially use as a basis for marketing decisions.

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________ requires that standard or innovative market segmentation bases are used,and that these bases uniquely identify the various groups so they can be analyzed and put in the marketer's targeting mechanisms.

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The second step in determining differences between percentages with two groups,requires that this difference be translated into a number of standard errors away from the hypothesized value of zero.

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Markets are often comprised of a number of market segments,not just two,so ________ is a valuable tool for discovering differences between and among multiple market segments.

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Statistical tests are used when a researcher wants to compare the medians of two different groups or samples.

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When a researcher wants to compare the means of three,four,five,or more different groups,what type of analysis should be used to accomplish such multiple comparisons?

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A(n)__________ is that there is a true difference between two groups' population parameters.

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Sometimes researchers deal with small sample sizes.What is a t test and a z test? When should each of these be used? How does SPSS eliminate a researcher's worry regarding t and z tests?

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With a differences test,the researcher tests the null hypothesis that no differences exist between the two group means(or percentages).

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Virtually every statistical test or procedure involves the computation of some critical statistic,and that statistic is used to determine the statistical significance of the findings.

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The sample size of 30 or greater requires the use of a z test.

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When a researcher wants to perform the test of significance of differences between two percentages,each representing a separate group(sample),what is the FIRST required step?

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