Question
The pizza equment manufacturer stated in the instruction manual that the average time to prepare a pizza should be less than 15 minutes. The alternate hypothesis is:
Answer
a.Ha: μPrep> 15 minutes
b.Ha: μPrep< 15 minutes
Question
The pizza manufacturer stated in the instruction manual that the average time to prepare a pizza should be less than 15 minutes. Using the "less than" option under the options box on the computer hypothesis test, the p value is:
Answer
a. .22
b. .32
Question
The pizza manufacturer stated in the instruction manual that the average time to prepare a pizza should be less than 15 minutes. The conclusion of the hypothesis test using the p value in problem 48 is:
Answer
a. Accept Ha: I am at this point at least 95% sure that μPrep< 15 minutes.
b. Accept Ho: I am at this point not at least 95% sure that μPrep< 15 minutes.
Question
The analyst wanted to know if the average Totaltimes on Friday and Saturday (as a group) were different from the average Totaltimes for the rest of the week. The null hypothesis would be:
Answer
a. Ho: μTotaltime (F and S) = μTotaltime(Rest of Week)
b. Ho: μTotaltime (F and S) ≠ μTotaltime(Rest of Week)
Question
The analyst wanted to know if the average TOTALTIMES on Friday and Saturday (as a group) were different from the average TOTALTIMES for the rest of the week. The alternate hypothesis would be:
Answer
a. Ha: μTotaltime (F and S) ≠ μTotaltime(Rest of Week)
b. Ha: μTotaltime (F and S) = μTotaltime(Rest of Week)
Question
The analyst wanted to know if the average TOTALTIMES on Friday and Saturday (as a group) were different from the average TOTALTIMES for the rest of the week. The p-value and t value for the test (using a two tailed test) would be :
Answer
a. p = .113 and t = 2.46
b. p = .0000 and t = -4.29
Question
The analyst wanted to know if the average TOTALTIMES on Friday and Saturday (as a group) were different from the average TOTALTIMES for the rest of the week. The conclusion to the test would be :
Answer
a. Accept Ho: Reject Ha: I am not at this point at least 95% sure that μTotaltime (F and S) ≠ μTotaltime(Rest of Week)
b. Accept Ha: Reject Ho: I am at this point at least 95% sure that μTotaltime (F and S) ≠ μTotaltime(Rest of Week)
Question
What percent of pizzas would be late with a 29 minute (not the 29.5 round up value) guarantee being offered?
Answer
a. 13.64
b. 86.46
Question
What percent of pizzas would be late with a 30 minute guarantee (again, not the 30.5 round-up value)?
Answer
a. 10.35%
b. 9.55%
Question 56
What percent of the pizzas would be late with a 30 minute guarantee IF the oven was modified to save an average of 2 minutes on each pizza? Note: This amounts to shifting the mean of the totaltime distribution down two minutes which is equivalent to increasing the guarantee up by two minutes (that is, to 32 minutes).
Answer
a. 6.82%
b. 5.91%
Question
Suppose the pizza company decided to limit the delivery radius of the pizzas to LESS THAN 4 miles. What percent of the pizzas would be guaranteed (remember that there are only 220 items in this data set)?
Answer
a. 52.27%
b. 31.62%
Question
Suppose the pizza company decided to limit the delivery radius of the pizzas to LESS THAN 4 miles (assume a 30 minute guarantee with a new oven saving 2 minutes). What percent of the GUARANTEED pizzas would be late if a 30 minute delivery guarantee was being given.
Answer
a. 6.09%
b. 4.35%
Question
What was the basic problem with the manager standing over each employee while they were doing their work?
Answer
a. The employees were not following the standard method.
b. The employees were likely working faster and more efficiently thabn if he were not watching.
Question
Statististically significant results mean that
Answer
a. the results could not be attributed solely to sampling error
b. the null hypothesis is accepted