In a chi-square test, the larger the difference between expected

Abbigail Robles

Abbigail Robles

Answered question

2022-04-23

In a chi-square test, the larger the difference between expected and observed frequencies, the more likely you are to:
a. Choose to use a t ratio or some other parametric test
b. Reject the null hypothesis
c. Retain the null hypothesis
d. Use the median test

Answer & Explanation

Cristian Rosales

Cristian Rosales

Beginner2022-04-24Added 26 answers

As the difference between the expected and the observed frequencies becomes larger, the value of the chi-square test statistic also becomes larger.
As the value of the chi-square test statistic becomes more, there will be more chances of rejecting the null hypothesis.
Therefore, the option (b), “Reject the null hypothesis” is considered correct.

Do you have a similar question?

Recalculate according to your conditions!

New Questions in College Statistics

Ask your question.
Get an expert answer.

Let our experts help you. Answer in as fast as 15 minutes.

Didn't find what you were looking for?