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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  1. 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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