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1) Based on our sample, how do you interpret the results and what do these results suggest about the population means for male and female salaries?
2) Based on our sample results, perform a 2-sample t-test to see if the population male and female salaries could be equal to each other.
3) Based on our sample results, can the male and female compas in the population be equal to each other? (Another 2-sample t-test.)
4) What other information would you like to know to answer the question about salary equity between the genders? Why?
5) If the salary and compa mean tests in questions 3 and 4 provide different results about male and female salary equality, which would be more appropriate to use in answering the question about salary equity? Why?
6) What are your conclusions about equal pay at this point?
Calculate and interpret the profit variance and calculate and interpret the revenue variance - How are the variances calculated above related?
Perform the F-test and comment on the overall usefulness of the model Perform t-test for the statistical significance of individual coefficients.
Using the results from part (c) and the range rule of thumb, indentify the range of usual value.
1. Use the following results obtained from a simple linear regression analysis with 15 observations.
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Matrix multiplication is distributive. That is, for any four matrices A, B, C and D of appropriate size, the following two matrix multiplication equalities
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a consumer products company wants to calculate the effectiveness of different types of advertising media in the
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