Problem 1:

A relay tower can be extremely expensive to repair when they break down. Occasionally, a novice must be tasked with resolving a problem due to a shortage of experts.

A cellular phone company is hoping to compare the average time it takes for an expert to repair a problem to the average time it takes for a novice to repair it. It is being determined if the mean time is less for an expert than a novice.

1 - A) How do you define "time to fix the problem"? Choose 1 from the options below.

a) Categorical

b) Quantitative

1 - B) This example compares how many populations?

a) One population

b) Two populations

c) Three or more populations

1 - C) How can the average fix times be compared with the hypothesis testing procedure?

a) Two sample t Test

b) Two Proportions z Procedure

c) Matched Pairs Test

Problem 2:

A chi-square test can be used to test each of the following scenarios. Identify which procedure is most appropriate for the scenario. Every procedure should only be used once.

2 - A) There are three lettuce suppliers for a large restaurant chain. There is often a comparison of lettuce quality between the three suppliers. How can you determine if the percentage of poor-quality shipments varies between suppliers?

a) Chi-Square-Test for Independence

b) Chi-Square-Test for equal proportions

c)Chi-Square-Test - Goodness of fit

2 - B) You need to know your customer base at all times. A survey of 200 beer drinkers was conducted by the beer industry, which asked which type of beer they prefer: Lager, IPA, Sour, or Porter, and their gender. Do gender and beer preference correlate with each other?

a) Chi-Square-Test for Independence

b) Chi-Square-Test for equal proportions

c)Chi-Square-Test - Goodness of fit

2 - C) Traffic accidents are regularly recorded by the National Highway Traffic Safety Administration. An observer assumes the number of accidents per week is evenly distributed over days of the week. In other words, p_Monday=1/7, p_Tuesday=1/7..., and so on. A sample of 400 accidents records the number of accidents that occurred on each day of the week. How do you test whether traffic accidents are not equally distributed over days of the week?

a) Chi-Square-Test for Independence

b) Chi-Square-Test for equal proportions

c)Chi-Square-Test - Goodness of fit