Exam 13: Implementing Basic Differences Tests

Different tests are required to test the differences between the means of two samples depending upon whether or not the two samples are independent or are paired.

Which of the following requirements of differences means that the marketer can focus various marketing strategies and tactics,such as product design or advertising,on the market segments to accentuate the differences between the segments?

While researchers are expected to report research results accurately and honestly,it is not necessary to include any results that may seem contradictory or unfavorable.

Analysis of variance is a "signal flag" procedure.By this,we mean that it alerts the researcher to the fact that there are many differences that are statistically significant and it flags him or her to those differences which are most important,those which should be acted upon first.

The word "variance" in the name "analysis of variance" is misleading.

Which of the following states that the difference between the population parameters between two groups is zero?

Which of the following is NOT true of a differences test?

Tommy Prothro,a marketing manager for Golden Snack Bars,has commissioned marketing research to determine if one recipe of snack bar is superior to another recipe.More than 400 persons who were "snack bar eaters" were involved in taste tests and,after tasting both recipes,they were asked which recipe they would purchase the next time they purchased snack bars.Tommy is now looking at the data and he sees that recipe A had 53 percent stating a preference whereas recipe B had 47 percent.Tommy's brand manager felt this was "significant" evidence that the firm should produce recipe A.But Tommy wanted more evidence so he asked the research firm to run a test to determine if there was a significant difference between the two recipes.When the firm ran the test,they reported a z value of 5.64.This means that:

P values are identified by what terms on computer output by statisticians?

Rebecca Sims is the general manager of a chain of auto parts stores.There are 400 stores in the country and they are divided up into seven divisions based upon geography.Each division has a division manager.The firm prides itself on keeping close tabs on customer satisfaction,and Rebecca has decided to take a sample of the 400 to test a new surrogate measure of customer satisfaction - the dollar value of returned merchandise.Each sample store reports daily the dollar value of merchandise returned and an average is calculated for each division.When Rebecca sees the first set of results,she wants to know if the differences between the division means are real or due to sampling error.Rebecca should use which test?

ANOVA is used to determine if there is any correlation among three or more paired groups or samples.

The statistical significance "flag" in SPSS is called the p value by statisticians and is denoted with "significance" or "probability" or their abbreviations.

The t test is the statistical inference test to be used with small sample sizes less than or equal to 30.

When making a comparison between two groups of respondents to determine whether or not they are statistically different,in concept,the researcher is considering the two groups as two:

There are different statistical tests for differences between means and differences between percentages.

When testing the difference between two percentages from two independent samples,a z value larger than 1.96 indicates the difference is NOT significantly different.

Statisticians have found that data do not meet the assumption of being normally distributed with sample sizes of 300 or more.

One of the reasons that all statistically significant differences may not be meaningful is that,to a great extent,statistical significance is determined by:

The formula for calculating the difference between two percentages calculates a z value.

In your text,you learn to test for significant differences between: