Evaluating professors and types of variables Weinberg Fleish
Evaluating professors and types of variables: Weinberg, Fleisher, and Hashimoto (2007) studied almost 50,000 students\' evaluations of their professors in almost 400 economics courses at The Ohio State University over a 10-year period.
One finding was that there was no statistically significant differences in average student evaluations among non-tenure-track lecturers, graduate student teaching associates, and tenure-track faculty members.
Which statistical test would the researchers have used for the above finding?
chi-square test for goodness-of-fit
chi-square test for independence
independent-samples t test
ANOVA
| a. | chi-square test for goodness-of-fit | |
| b. | chi-square test for independence | |
| c. | independent-samples t test | |
| d. | ANOVA | 
Solution
chi-square test for goodness-of-fit
Reason:
•there can be more than two possible outcomes. Called multinomial.
 •Measure a single categorical variable on each trial.
 •Each person or trial falls into one of k mutually
 exclusive categories.
 •Null hypothesis specifies the probabilities of falling
 into each of the k categories.
 •Alternative hypothesis is that those are not all
 correct.
| a. | chi-square test for goodness-of-fit | 

