Write a conclusion about the effects of the different instructions, include the following:   An explanation of the obtained value of the t-test.   Provide a measure of explained variance, and an explanation of it. .   Provide the effect size calculation, and expl

Using the car data set below, describe the mpg variable and the effect that car type may have on that using the techniques learned in class. This means mean, median, standard deviation, 5 number summary, and boxplots. 1 2 3 4 5 6 7 large large large large large large large 11 large 12 large 13 large 14 midsize 15 midsize 16 midsize 17 midsize 18 midsize 19 midsize 20 midsize 8 9 type large 10 A price B 20.8 23.7 34.7 18.8 18.4 29.5 19.3 20.9 36.1 20.7 24.4 33.9 37.7 30 15.7 26.3 40.1 15.9 C mpg_city c D drive train 19 front 16 rear 16 front 17 rear 20 front 20 front 20 frant 18 rear 18 rear 19 front 19 front 18 front 19 front 22 rear 22 front 19 front 16 front 21 front E passengers 6 6 6 6 6 6 6 4 6 6 6 6 6 5 6 6 5 weight F 3470 4105 3620 3910 3515 3570 3490 3950 4055 3470 3495 3560 3405 3640 2880 3495 3935 3195

The manager knows from previous years that the company will provide an annual bonus if theaverage sales per customer is greater than $80.00. Based on this sample – with a 5% level ofconfidence – should they expect an annual bonus? t-Test: Paired Two Sample for Means             Variable 1 Variable 2 Mean 77.6005 0 Variance 3098.585 0 Observations 100 100 Pearson Correlation #DIV/0!   Hypothesized Mean Difference 80   df 99   t Stat -0.43106   P(T<=t) one-tail 0.33368   t Critical one-tail 1.660391   P(T<=t) two-tail 0.667361   t Critical two-tail 1.984217   Here is the data that I ran through excel. I am having a hard time with the hypothesis, decision, and summary.

What is the variance for store 3? What is 4, 5, and 6 in interpreting the results?