Which of the following statistical methods requires two or more categorical variables?

Question

Options

• ASimple linear regression
• BChi-squared test
• CZ-test
• DTwo-sample t-test

• A
  3% (1)
• B
  87% (34)
• C
  8% (3)
• D
  3% (1)

Explanation

A chi-squared test is a statistical method used to determine if there is a significant relationship between two categorical variables. It is used to determine if the observed frequencies of a variable are different from what would be expected based on a theoretical probability distribution. For example, a chi-squared test could be used to determine if there is a significant difference in the number of people who smoke and the number of people who have lung cancer. To perform a chi-squared test, the data must be in the form of a contingency table, with each cell representing the count of observations for each combination of categories for the two variables being tested. The test statistic is calculated based on the observed and expected frequencies, and the results are compared to a critical value from a chi-squared distribution to determine if the relationship between the two variables is significant.

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