The following is the output of the test for the null hypothesis: mu_burgerking =

Question

The following is the output of the test for the null hypothesis: mu_burgerking = mu_checkers = mu_popeyes, where the mu is the mean monthly sales in thousands. Given the output, what can you conclude? Use alpha = .05. The for all three are all the same The for all three are all the same The for all three are all the same the three The following is the output of the test for the null hypothesis sigma squared_burgerkmg = sigma squared_checkefs. where the sigma squared is the variance of monthly sales (in thousands). Given the output, what can you conclude? Use alpha = .05. The variance of monthly sales for Burger King and are not significantly different The variance of monthly sales for Burger King and are not significantly different The variance of monthly sales for Burger King is significantly higher than that for Checkers The variance of monthly sales for Burger King is significantly lower than that for Checkers If you conduct a Chi - square test to test for the independence between two categorical variables, and you get a p - value of .03. what can you conclude? Use alpha = .05 These tow variables are independent These two variables are dependent The following is the output of the regression for E (Rating) = beta_0 + beta_1*Female + beta_2* lncome. The values for 'Rating' range from 0 to 100. Female is a dummy variable for gender, so it ml have a value of 1 if the gender is female. Given the output, at the .05 significance level, which independent variables have significant relationships with rating? (Choose all that apply)

Explanation / Answer

ANSWERS:

7) The monthly sales for all three stores are all different

EXPLANATION:

Here P-Value = 0.0000<0.05

Hence we reject Ho

8) The variance of monthly sales for Burger king and Checkers are not significantly different

EXPLANATION: Here P>0.05

Hence we fail to reject Ho. i.e. not significant

9) The two variables are dependent

EXPLANATION:

Here P Value = 0.03 < 0.05.

Hence we reject Ho

Therefore there is a significant association between two variables. i.e. both the variables are dependent.

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