Two samples of ten each from the male and female workers of a large company have been taken.The data involved the wage rate of each worker.To test whether there is any difference in the average wage rate between male and female workers a pooled-variances t-test will be considered.Another test option to consider is ANOVA.The most likely ANOVA to fit this test situation is the:
A) one-way analysis of variance.
B) randomized block design.
C) two-way analysis of variance.
D) simple regression model.
E) chi-square test for independence.

Question

Quizplus · Accepted Answer

A one-way analysis of variance is the most appropriate ANOVA to use in this situation, as there is only one factor being analyzed (gender). The randomized block design would be used if there were multiple factors being analyzed and the data was collected in a blocked or paired design. The two-way analysis of variance would be used if there were two factors being analyzed. The simple regression model would not be appropriate for this situation as there is no predictor variable being used to explain the wage rate. The chi-square test for independence would be used if the data involved categorical variables, which is not the case here.

Two Samples of Ten Each from the Male and Female