Exam 12: Testing of Differences

Iams marketing over a dozen varieties of dry dog food, Toyota marketing over 20 different types of cars, and Boeing having five different types of commercial jets and a separate business jets division are all examples of:

Marketing segmentation is a vital marketing strategy concept. As such, a marketing researcher is always hoping for the:

Market segmentation relies on the discovery of significant differences through the application of proper data analysis

ANOVA uses a t test statistic.

Tom Morrow who runs a car dealership was reviewing the results on a marketing research report presented to him by ABC Research. He had asked ABC to compare the overall preference of his target market for an economical car with that of a hybrid vehicle. The report showed that the null hypothesis was not supported. What can Tom conclude from this?

Directional tests are not possible with testing for significant differences between the averages of two variables within one group.

A researcher would very much like to report that significant differences were found between two groups because this is the first of the two conditions of market segmentation; significant difference.

When a marketing researcher compares two groups of respondents to determine whether or not there are statistically significant differences between them, the research thinks of them as two dependent populations.

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 at a 95% level of confidence. This means:

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

Researchers often misuse and abuse the concept of significance, for they tend to associate statistical significance with the:

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 and that the firm should produce recipe "A." Tommy, however, wanted more proof so he asked the research firm to run a test to determine if there was a significant difference between the two recipes. By doing this, Tommy would get information that would allow him to determine:

In order to test for significant differences a researcher needs to fall back on statistical generalization concepts.

When a computed z value (for a test for differences between two percentages), 4.21, is larger than the standard z value, 1.96, then this amounts to:

To test whether a true difference exists between two group percentages, we test the ________ hypothesis.

There are different ways a research can analyze for differences between groups discussed in the textbook. Which of the following is NOT one of those ways?

Once you have determined the percentage and sample size of each of your two samples, and then compared the two percentages by taking their arithmetic difference, the next step is t:

Gender is a demographic variable that is often used by marketers to segment their markets.

The alternative hypothesis states that there is a true difference between the two group percentages that are being compared. When comparing averages an ANOVA hypothesis is used instead.

When testing the difference between two percentages from two independent samples, XL Data Analyst will not make this calculation. You must do it by hand.