Student's t-test
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STATISTICS
Hypothesis Testing
Student's t-test
Student's t-test reveals significant differences between group means using small samples
26 Jan 2026
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Why is the Student's t-test preferred over the Z-test when dealing with small sample sizes and unknown population variance?
Because the t-test accounts for the additional uncertainty in estimating the population variance from the sample, leading to a more accurate test statistic distribution.
Because the t-test assumes the population variance is known, making it simpler to calculate than the Z-test.
Because the t-test can only be used for large samples, unlike the Z-test which is for small samples.
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