Should a researcher ever use chi-square to examine the relationship between two variables that are interval level and normally distributed?
A) Yes, since chi-square can be computed with any level of data.
B) Yes, since it can produce a significant saving in data analysis time.
C) Yes, since it is more powerful than tests designed for use with higher levels of level.
D) No, because it wastes the available precision of measurement, and can result in a Type II error.

Question

Quizplus · Accepted Answer

Chi-square is designed to analyze categorical data, and using it with interval level data can result in loss of precision and potential Type II error. It is better to use tests designed for use with interval level data, such as t-tests or correlation analysis.

Should a Researcher Ever Use Chi-Square to Examine the Relationship