When a population is not normally distributed, the Central Limit Theorem states that a sufficiently large sample will result in the sample mean being normally distributed.
Indicate whether the statement is true or false
Q. 2Differentiate between control limits and specification limits.
What will be an ideal response?
Q. 3If a one-tailed F-test is employed when testing a null hypothesis about two population variances, the test statistic is an F-value formed by taking the ratio of the two sample variances so that the sample variance predicted to be larger is placed in
the numerator. Indicate whether the statement is true or false
Q. 4A potato chip manufacturer has two packaging lines and wants to determine if the variances differ between the two lines. They take samples of n1 = 10 bags from line 1 and n2 = 8 bags from line 2. To perform the hypothesis test at the 0.
05 level of significance, the critical value is F = 3.68. Indicate whether the statement is true or false
Q. 5One of the things that the Central Limit Theorem tells us is that about half of the sample means will be greater than the population mean and about half will be less.
Indicate whether the statement is true or false
Q. 6Differentiate between a run chart and a control chart.
What will be an ideal response?
Q. 7Briefly describe the basic process for using OptQuest in Crystal Ball.
What will be an ideal response?
Q. 8According to USA Today, customers are not settling for automobiles straight off the production lines. As an example, those who purchase a 355,000 Rolls-Royce typically add 25,000 in accessories.
One of the affordable automobiles to receive additions is BMW's Mini Cooper. A sample of 179 recent Mini purchasers yielded a sample mean of 5,000 above the 20,200 base sticker price. Suppose the cost of accessories purchased for all Mini Coopers has a standard deviation of 1,500.Calculate a 95 confidence interval for the average cost of accessories on Mini Coopers.A) (4850.33, 5149.67)
B) (4878.82, 5121.18)
C) (4788.86, 5211.14)
D) (4780.25, 5219.75)
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