Exam 13: Implementing Basic Differences Tests

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If we wanted to test for the mean likelihood that shoppers will shop again in different departments such as home and garden versus sporting goods,versus automotive,versus electronics,we would use:

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If the F value in ANOVA produces a significantly high p value (aka "Sig." in SPSS)of 10 or more,then it is appropriate to proceed with an ad hoc test.

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Which of the following SPSS commands is used to run ANOVA?

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Market segmentation holds that different types of consumers have different requirements.

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When testing for differences,a manager must first determine if the differences are meaningful and then act on the differences.Only then should he or she decide if the differences are significantly different.

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As long as different,independent samples are being tested,it is appropriate to run the paired samples test for the differences between two means on one sample's mean height (measured in feet/inches),versus another sample's mean weight (measured in pounds/ounces).

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When we test for the differences between two groups,the null hypothesis is that the difference in the two groups' population parameters is more than 30.

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We have two percentages and we want to know if they are statistically different.We calculate our z and find that it is 4.21.This means that:

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If we are examining the SPSS output for testing the differences between two means from independent samples (Independent Samples t Test)and we show a Sig.of .001 for Equal variances assumed under Levene's Test for Equality of Variances,this means we:

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The fact that different segments of flu or cold sufferers will consistently seek different medications targeted at their symptoms (sore throat,nasal congestion,cough,etc. )illustrates the use of:

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Which of the following SPSS commands would be used to test for the significant differences between two percentages?

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Assume you have two questions of the same format,a 5-point scale measuring importance level.One question measures importance of prices in the selection of a restaurant and the other measures food quality.If you want to know if the two mean scores to each question are significantly different,you would use:

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