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The t-test for the two means is appropriate in this situation because women and men are independent samples.
Independent samples are chosen randomly, ensuring that their results are independent of other observations' values.
The premise that samples are independent underlies many statistical analyses. Others are made to evaluate non-independent sample sets.
The samples of men and women are independent since their results are independent of other observations' values.
The Independent Samples t-Test analyzes the means of two separate groups to see if there is statistical support that the population means values are statistically substantially different.
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