Exam 13: Finding Differences

When using XL Data Analyst to compare two mutually exclusive groups as to their respective percentage on a category,the ________ variable is the variable on which the groups will be compared.

If the XL Data Analyst has reported that the hypothesis of equal percents (the null hypothesis)is "not supported," then there is a true difference between the two group percentages.

Assume a survey asks teens: "How many 20 oz.sports drinks do you drink in a week?" If you wanted to compare the answers you would test for the difference between two:

When we test for the differences between percentages for two groups the null hypothesis is that the difference in the two group's population parameters is over 30.

When testing for the differences between two averages the s1 in the formula stands for:

To determine if more than two groups averages are significantly different using XL Data Analyst we would use which command?

Which of the following is NOT true of ANOVA?

When testing the difference between the averages of two groups,XL Data Analyst performs this task by the command: Compare-2 Group Averages.

When a researcher wants to compare the averages of several (more than two)groups,he or she should use:

Output for ANOVA in XL Data Analyst shows you which pairs of averages are:

When you are comparing the averages on two variables for significant differences,which of the following is true?

When testing the difference between the percentages of two groups,XL Data Analyst requires users to enter both the grouping variable and the target variable.

The output for ANOVA in your XL Data Analyst software provides a table that shows you group averages and which are significantly different if ANOVA finds the null hypothesis is not supported.

The apex of the sampling distribution of the difference between two percents is zero to represent the null hypothesis.

When testing whether a true difference exists between two group percentages,the ________ hypothesis is that there is a true difference between the two group percentages (or averages)that we are comparing.

Market difference testing holds that within a product market,there are different types of consumers who have dissimilar requirements,and these differences can be the bases of marketing strategies.

When testing for the differences between two averages the formula subtracts the differences between the two averages and divides this difference by the standard error of the difference between two:

When comparing,a categorical scale requires that the researcher compare:

You may have statistical significance and still not have:

When the difference is deemed to be important and useful to the marketing manager,then it has practical significance.