Michelle Steward Is a Marketing Professor at Wake Forest University

question 51

Multiple Choice

Michelle Steward is a marketing professor at Wake Forest University.Michelle had been asked by the administration to study a sample of classes at Wake to help the university understand the student population better particularly in terms of factors that differentiate students with high versus low GPAs.One of the questions asked was,"What score did you earn (0 to 100) on the last test that you took?" and another question in the study asked,"How much time,estimated in numbers of minutes,did you study for the last test you took?" Michelle decided to run a cross-tabulation analysis on these two questions.When she did,she also ran the chi-square test.The result was a Pearson Chi-Square Value of 8.64 and a p value reported as a "Sig." in SPSS of .03.Michelle knew that this meant:

• A)there was a significant,positive association between the two variables.
• B)there was the presence of an association;the probability of supporting the null hypothesis that there is no association is only 3 percent.
• C)there was the presence of a negative association;the probability of supporting the null hypothesis that there is no association is only 3 percent.
• D)there was the presence of a positive,"very strong" association because the probability of supporting the null hypothesis that there is no association is only .03 percent.
• E)None of the above;Michelle should not have run a chi-square test because the two variables are both metric.

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Definitions:

Cost System

A method used by firms to track, record, and analyze costs associated with their operations, typically to improve efficiency or profitability.

Kilos

A metric unit of mass equal to one thousand grams or approximately 2.20462 pounds.

Direct Materials

Raw materials that can be directly traced to the production process and are a significant part of the finished product.

Raw Material

The basic substances or components that are processed and transformed into finished goods in manufacturing.