1: A cause-effect diagram is used in which of the following phases?

A The open phase

B The narrowing phase

C The close phase

D The decision phase

2: When the null hypothesis contains an equal sign, ___________.

A The hypothesis test has two tails (or rejection regions)

B The alternative hypothesis contains a "not equal to" sign

C It can be rejected by the test statistic being significantly large or small

D All of the above

3: The chi-square distribution is ____________.

A Bell shaped

B Bimodal

C Level

D Skewed

4: According to the Theory of Constraints, what is the goal of a company?

A To increase sales

B To decrease costs

C To make money

D To increase quality

5: Which of the following statements is MOST correct?

A If "r" is greater than "1", there is a positive correlation

B If "r" is less than one, there is a negative correlation

C If "r" is less than one, but greater than 0, there is a positive correlation

D If "r" is a negative number, there is a negative correlation

6: A salesman enters a food-processing facility and claims that his new juice box filling machine can save the company money, because he is 95% confident it has less variation from the nominal setting than the company's current machine. A random sample of 25 juice boxes from the salesman's machine yields a standard deviation of 0.09 ounce. A random sample of 16 juice boxes from the company's current machine yields a standard deviation of 0.13 ounce. What can we conclude?

A The salesman is correct. We can say with 95% confidence that his machine has less variation from the nominal setting than the company's current machine

B The salesman may be correct. It is not possible to prove he is correct, but indications are that his machine has less variation from the nominal setting than the company's current machine

C We cannot show that the salesman is incorrect. We cannot prove that he is wrong, but indications are that the company's machine has the same variation as the salesman's machine

D The salesman is incorrect. We cannot say with 95% confidence that the salesman's machine has less variation from the nominal setting than the company's current machine

7: A company wanted to know if a special gas additive truly (and significantly) affected the gas mileage in their company vehicles. Use the data below to determine whether or not the additive significantly affected gas mileage.

[Please provide the data for answering this question.]

A Yes, because the T-statistic of 3.125 exceeded the T-critical value of 2.365

B Yes, because the T-statistic of 4.51 exceeded the T-critical value of 2.365

C No, because the T-statistic of 0.563 failed to exceed the T-critical value of 2.365

D Yes, because the T-critical value is 1.895

We are given the following information for applying the t test.