Question:

A statistical technique for examining the differences among means for two or more populations is called

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Use ANOVA when testing mean differences across more than two groups; use t-tests for two groups only.
Updated On: Aug 18, 2025
  • chi-square
  • analysis of variance (ANOVA)
  • cross-tabulation
  • independent samples t test
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The Correct Option is B

Solution and Explanation

Step 1: Understanding the requirement.
When comparing the means of two or more groups, we need a statistical technique that can test if the differences are statistically significant.
Step 2: Check each option.
(a) Chi-square — used for categorical data association, not comparing means.
(b) ANOVA — compares means across multiple groups, partitions variance into between-group and within-group components.
(c) Cross-tabulation — only summarizes categorical data.
(d) Independent samples t test — compares means of two groups only. \[ \boxed{(b)} \]
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