Hypotheses about frequency distributions that involve one or more nominally scaled variables can be tested using ____________.
A)chi-square test
B)t-test
C)f-test
D)z-test
E)ANOVA test

Question

Quizplus · Accepted Answer

The chi-square test is used to analyze the difference between observed and expected frequencies in a nominal distribution. It is the most appropriate test for hypotheses that involve one or more nominally scaled variables. The t-test and f-test are used for hypotheses involving interval or ratio scale variables, while the z-test is used to test hypotheses about population means when the population standard deviation is known. ANOVA is used for testing hypotheses involving one independent variable and one dependent variable with interval or ratio scales.

Hypotheses About Frequency Distributions That Involve One or More Nominally