Chi-square

Chi-square goodness of fit conditions

Chi-square goodness of fit conditions

The chi-square goodness of fit test is appropriate when the following conditions are met: The sampling method is simple random sampling. The variable under study is categorical. The expected value of the number of sample observations in each level of the variable is at least 5.

  1. What are the three conditions for chi-square test?
  2. Under what condition do we use chi-square?

What are the three conditions for chi-square test?

Your data must meet the following requirements: Two categorical variables. Two or more categories (groups) for each variable. Independence of observations.

Under what condition do we use chi-square?

A chi-square test is a statistical test used to compare observed results with expected results. The purpose of this test is to determine if a difference between observed data and expected data is due to chance, or if it is due to a relationship between the variables you are studying.

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