A random sample of 20 female executives from companies with assets over $1 million was selected and asked for their annual income and level of education. The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was 250. The following table summarized the results: To compare the mean annual incomes of female executives with a high school education or less and female executives with a master's degree or more, compute the 90% confidence interval.

Question

A random sample of 20 female executives from companies with assets over $1 million was selected and asked for their annual income and level of education. The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was 250. The following table summarized the results:  To compare the mean annual incomes of female executives with a high school education or less and female executives with a master's degree or more, compute the 90% confidence interval.

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The Answer of A random sample of 20 female executives from companies with assets over $1 million was selected and asked for their annual income and level of education. The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was 250. The following table summarized the results:  To compare the mean annual incomes of female executives with a high school education or less and female executives with a master's degree or more, compute the 90% confidence interval.

A Random Sample of 20 Female Executives from Companies with Assets