Question:
The significance of the difference between proportions can also be tested by which of the following?
The significance of the difference between proportions can also be tested by which of the following?
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Categorical data and proportions call for the chi-square test.
Updated On: Jun 23, 2026
- 't' test
- Chi square test
- ANOVA
- Correlation and regression
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The Correct Option is B
Solution and Explanation
Step 1: Proportions arise from qualitative (categorical) data, such as the number of cases vs non-cases. A test of significance for such data must work on counts/frequencies.
Step 2: The chi-square test compares observed and expected frequencies and tests the significance of the difference between two or more proportions or ratios. It can handle more than two groups at once, which is an added advantage.
Step 3: The 't' test and ANOVA compare means of quantitative data, and correlation/regression studies the relationship between continuous variables. None of these directly test proportions, so the chi-square test is the correct choice.
Step 2: The chi-square test compares observed and expected frequencies and tests the significance of the difference between two or more proportions or ratios. It can handle more than two groups at once, which is an added advantage.
Step 3: The 't' test and ANOVA compare means of quantitative data, and correlation/regression studies the relationship between continuous variables. None of these directly test proportions, so the chi-square test is the correct choice.
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