If the variance of x is 4 then the variance of 3 + 5x is (a) 100 (b) 103 (c) 20 (d) 23

We are interested in determining whether or not the variances of the sales at two music stores (A and B) are equal. A sample of 16 days of sales at store A has a sample variance of 20 while a sample of 26 days of sales from store B has a sample variance of 30. The test statistic is (A) 1.50 (B) 1.69 (C) 2.25 (D) 2.50

For #27 and #28: A study compared the grade point average (GPA) for students who were divided by 6 locations where they usually sat during lectures (i.e. left or right front, left or right center, left or right rear). A total sample size of 12 students was studied (2 students from each section) using one-way Analysis of Variance.   27. The Error Sum of Squares (SSE) is 50. What is the Mean Square Error (MSE)?       A. 4.17       B. 8.33       C. 10.00       D. 12.00   28. The Sum of Squares Treatment or Among Groups (SSA) is 60. What is the Mean Square Among groups (MSA)?       A. 10       B. 12       C. 30       D. 60

An arcade machine costs one dollar to play. Every time you play, there is a 1/10 chance of winning.(a) Let A be the number of times you play until you win. Find the variance Var[A].(b) Ten people play the arcade machine; each one keeps playing until they win, and thenit’s the next person’s turn. Let B be the number of times they play in total. Find thevariance Var[B].(c) Ten years later, you come back to the arcade machine, and it’s exactly the same, exceptthat due to inflation, the machine costs $10 to play.Let C be the the total cost of playing until you win. Find the variance Var[C].

A local high school makes a change that should improve student satisfaction with the parking situation. Before the change, 37% of the school's students approved of the parking that was provided. After the change, the principal surveys an SRS of 200 from the more than 2500 students at the school. In all, 83 students say that they approve of the new parking arrangement. The principal cites this as evidence that the change was effective. Which of the following is not true regarding Type I and Type II errors in this setting? O A Type I error occurs if you find convincing evidence that more than 37% of students were satisfied with the new parking arrangement, when in reality only 37% were satisfied. O A Type Il error occurs if you do not find convincing evidence that more than 37% are satisfied with the new parking arrangement, when in reality more than 37% are satisfied. O A possible consequence of a Type I error is the principal believes that students are satisfied and takes no further…

(t Test (in Excel) for Two Samples with Unequal Variances) In an agricultural experiment, the effects of two fertilizers on the production of oranges were measured.  Fourteen randomly selected plots of land were treated with fertilizer A, and 10 randomly selected plots were treated with fertilizer B.  The number of pounds of harvested fruit was measured from each plot. Following are the results.                                    Fertilizer A                                                        Fertilizer B 448, 478,482, 442,455, 480 ,457, 506,             436,478,453,489,400,444,495,438,481,501  470,444, 466, 427, 461, 431                                      Assume that the populations are approximately normal.  Can you conclude that there is a difference in the mean yields for the two types of fertilizer?  Use the α = 0.01 level of significance.   Use Excel to perform the hypothesis test.   State the null and alternate hypotheses that would be appropriate for this hypothesis…

R² is: O The ratio of the variance accounted for by the predicted values of Y to the variance accounted for by the observed values of Y. O The ratio of the variance accounted for by the observed values of Y to the variance accounted for by the predicted values of Y. O The MSR divided by the MS. O The SS, divided by the SSy.

/Skip/1 A beverage company has two bottling plants in different parts of the world. To insure uniformity in their product, the variances of the weights of the bottles at the two plants should be equal. But Stephanie, the company's vice president of quality assurance, suspects that the variance at bottling plant A is more than the variance at bottling plant B. To test her suspicions, Stephanie samples 37 bottles from bottling plant A and 33 bottles from bottling plant B, with the following results (in ounces): Bottling Plant A: 12.4, 12.4, 13.4, 14.3, 12.7, 12.7, 13.7, 12.4, 12.8, 12.4, 12.9, 12.7, 12.8, 13.3, 13.8, 12.7, 12.4, 11.9, 12.9, 13, 13.1, 12.4, 12.7, 12.6, 12.5, 13.3, 12.2, 13.3, 12.8, 12.7, 13.2, 13.1, 11.7, 13, 12.3, 13.1, 12.4 Bottling Plant B: 12.9, 12, 13.4, 12.4, 12.4, 12.9, 12.7, 12.1, 11.4, 13.1, 14.1, 12.5, 12.7, 11.5, 12.3, 12.7, 13.7, 12.6, 13.9, 12.7, 12, 12.5, 11.7, 13.6, 11.4, 13.6, 14, 12, 11.5, 12, 11.7, 13, 11.8 Perform a hypothesis test using a 3% level of…