A mail-order company has two warehouses, one on the West Coast and the second on the East Coast. The company’s policy is to mail all orders placed with it within 72 hours. The company’s quality control department checks quite often whether or not this policy is maintained at the two warehouses. A recently taken sample of 400 orders placed with the warehouss on the West Coast showed that 364 of them were mailed withnin 72 hours. Another sample of 300 orders placed with the warehouse on the East Coast showed that 279 of them were mailed within 72 hours. a) Construct a 97% confidence interval for the difference between the proportions of all orders placed at the two warehouses that are mailed within 72 hours. b) Using a 2.5 % significance level, can you conclude that the proportion of all orders placed at the warehouse on the West Coast that are mailed within 72 hours is lower than the corresponding proportion for the warehouse on the East Coast?

Jerry is considering opening a new ice cream store at a certain location on State Street in Madison. Jerry conducts some analysis and determines that a given location is acceptable only if the number of pedestrians passing the potential location averages more than 100 per hour. To check if this location is acceptable, Jerry records the number of pedestrians observed for each of 40 hours. Jerry finds that the average number of pedestrians that pass the potential location during each of the 40 hours he was observing, is 105.7 per hour. Jerry assumes that he knows the population standard deviation to be 16. Can Jerry conclude at the 1% significance level that the potential location for the ice cream store is acceptable? a. What is the correct set of hypotheses? Answer: Ho: u = 100 and H1: u> 100 v b. Determine the p-value Answer: 0.0122 c. Interpret the results Answer: There is not enough evidence d. Jerry is concerned with committing a Type II error. Determine the probability of Type II…

Urgent Care is organized in to 4 department: Registration (Reg), Waiting (Wait), Treatment (Treat), and Payment & Check Out (PCO). For all patients who receive treatment at the Urgent Care, the expected time (in minutes) per patient needed in each of the departments: Reg. Wait. Treatment PCO 10 15 30 3 or 2 All patients enter and register at the registration cubicle. After registering, 10% of the patients walk out without waiting and seeing the physician for treatment. However, still they have to walk through the PCO & return the admissions slip. These patients need only 2 min at PCO (instead of 3 min). No waiting and treatment time for patients who walk out. Simulate the total time spent in the Urgent care for the first patient. Total time spent by Patient 1 at the Urgent Care is . RN: 0.05 Hint: Need to check (simulate) whether a patient, after registering( 10 min), walks out or not. O 2 min O 12 min O 10 min O None of these

The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A 6.3 6.6 6.7 6.8 7.1 7.3 7.5 7.8 7.8 7.8 Bank B 4.2 5.5 5.9 6.3 6.7 7.7 7.7 8.5 9.3 10.0 Click the icon to view the table of Chi-Square critical values. Construct a 90% confidence interval for the population standard deviation o at Bank A. 7:6

A school Psychologist is interested in the effect of violent television programs on a child's agression depending on if the show is a cartoon or not. Eighty children were recruited and were divided into equal groups. Half of the children watched a violent television program while the other half watched a non- violent program. Half of the children watched a cartoon while the other half watched a show that was not a cartoon. The children were then placed in a small group and the researcher measured the level of agressiveness of each child.      A) z- test  B) t - test  C) test independent samples D) T - TEST RELATED SAMPLES E) ANOVA F) FACTORIAL ANOVA G) repeated measures ANOVA H) pearson correlation i) chi square

1.3 of your textbook about the automobile that was tested for production defects, but assume that the number of production defects is 21 and that 12 of these are classified as major defects, 11 are classified as design defects, and 6 were neither major defects nor design defects. How many of the design defects were major?

You're a quality engineer at Norman's fouth largest cracker factory. where there are two production lines (A, which produces 20% of cracker boxes, and B which produces the rest). If a line produces more than one defective box in an eight -hour day, a maintenance check on the line is performed.   Line A produces an average of 0.061 box defects PER Hour. Given that you're only looking at a line A, what is the probability that you will need a request a maitenance check.