An education analyst believes that the average SAT scores for women exceed the average SAT scores for men in the United States. The analyst does not know the population standard deviation of SAT scores for men and women. The following information outlines the information for each sample: Women Menn1 = 10 n2 = 20X1 = 1080 X2 = 1000s1 = 100 s2 = 125Assuming that the population variances are equal, test the analyst’s claim at the 0.05 level.

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Description: An education analyst believes that the average SAT scores for women exceed the average SAT scores for men in the United States. The analyst does not know the population standard deviation of SAT scores for men and women. The following information out

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An education analyst believes that the average SAT scores for women exceed the average SAT scores for men in the United States. The analyst does not know the population standard deviation of SAT scores for men and women. The following information outlines the information for each sample:

Women Men

n₁ = 10 n₂ = 20

X₁ = 1080 X₂ = 1000

s₁ = 100 s₂ = 125

Assuming that the population variances are equal, test the analyst’s claim at the 0.05 level.

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