Yes, we should assume equal variances when comparing independent samples. No, be

Question

Yes, we should assume equal variances when comparing independent samples.

No, because the variances will differ because the means differ significantly.

Yes, because by pooling our variances, we can simplify our calculations.

No, because the sample statistics show that the variances are unequal at = .05.

Hypothesis Test: Independent Groups (t-test, unequal variance) Women Men 2.1538 mean 2.812 1.2505 0.5547 std. dev 13 sample size 13 pooled df 0.6582 difference (Men Women) 0.40722 standard error of difference 0 hypothesized difference 1.62 t 0.065 p-value (one-tailed, upper) F-test for equality of variance 1.56375 variance: Men 0.307692 variance: Women 5.08 F 0.01 p-value

Explanation / Answer

Yes , because by pooling our variances we can simplify our calculations to use a test that assumes equal variances.

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