Statistics for Management and Economics (Book Only)
11th Edition
ISBN: 9781337296946
Author: Gerald Keller
Publisher: Cengage Learning
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Chapter 15.2, Problem 34E
To determine
Test hypothesis.
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The manager of a men’s clothing catalog measured the market’s response to a $6 decrease in the usual price of his company’s oxford shirts by conducting a sales experiment. An A-B split was used to divide the company’s 120,000-customer mailing list into two groups. Customers in the control group were sent catalogs listing oxford shirts at their usual price of $40. Customers in the test group were sent catalogs listing the price of oxford shirts at $32.80. During the period of the test, customers in the control group purchased 700 oxford shirts, and customers in the test group purchased 889 oxford shirts.
What is the independent variable in this sales experiment? What is the dependent variable in this sales experiment?
What is the percent change in price in this experiment?
What is price elasticity indicated by the results of this experiment.
Vida Dampo is the purchasing clerk for Adanfopa Company. Adanfopa sells car filters. One of the most popular filters is the BMW, which has an annual demand of 4,000 units. The cost of each filter is $90, and the inventory carrying cost is estimated to be 10% of the cost of each filter. Vida has made a study of the costs involved in placing an order for any of the filters that Adanfopa Company stocks, and she has concluded that the average ordering cost is $25 per order. Furthermore, it takes about two weeks for an order to arrive from the supplier, and during this time the demand per week for Adanfopa Company is approximately 80.i. What is the EOQ?ii. What is the ROP? iii. What is the average inventory? What is the annual holding cost? iv. How many orders per year would be placed?
v. What is the annual ordering cost?
note please answer all the questions.
We are interested in analysing the effect of the lockout laws introduced in some areas of the Sydney CBD and nearby surrounds on the number of alcohol-related violent incidents.
Suppose we have two samples of data on the number of violent incidents in a number of local areas of the Sydney CBD and nearby surrounds. Pubs, hotels and clubs located in a subset of these areas became subject to the lockout laws when they were introduced in 2014. The first sample is from 2010 before the introduction of the lockout laws, and the second is from 2015 after the introduction of the law. The hypothesis we wish to test is that the introduction of the lockout laws reduces violent incidents in the areas in which the lockout laws were put in place.
We use a difference-in-difference model on the pooled data from 2010 and 2015. We find the following results:
viol_inc hat = 33.21 (5.29) + 12.43lockout (7.01) – 4.19Yr2015 (2.98) – 3.32 (lockout x Yr2015) (1.85)
N = 181, R^2 = 0.128
Where:
viol_incis the…
Chapter 15 Solutions
Statistics for Management and Economics (Book Only)
Ch. 15.1 - Prob. 1ECh. 15.1 - Prob. 2ECh. 15.1 - Prob. 3ECh. 15.1 - Prob. 4ECh. 15.1 - Prob. 5ECh. 15.1 - Prob. 6ECh. 15.1 - Prob. 7ECh. 15.1 - Prob. 8ECh. 15.1 - Prob. 9ECh. 15.1 - Prob. 10E
Ch. 15.1 - Prob. 11ECh. 15.1 - Prob. 12ECh. 15.1 - Prob. 13ECh. 15.1 - Prob. 14ECh. 15.1 - Prob. 15ECh. 15.1 - Prob. 16ECh. 15.1 - Prob. 17ECh. 15.1 - Prob. 18ECh. 15.1 - Prob. 19ECh. 15.1 - Prob. 20ECh. 15.1 - Prob. 21ECh. 15.1 - Prob. 22ECh. 15.1 - Prob. 23ECh. 15.1 - Prob. 24ECh. 15.1 - Prob. 25ECh. 15.2 - Prob. 26ECh. 15.2 - Prob. 27ECh. 15.2 - Prob. 28ECh. 15.2 - Prob. 29ECh. 15.2 - Prob. 30ECh. 15.2 - Prob. 31ECh. 15.2 - Prob. 32ECh. 15.2 - Prob. 33ECh. 15.2 - Prob. 34ECh. 15.2 - Prob. 35ECh. 15.2 - Prob. 36ECh. 15.2 - Prob. 37ECh. 15.2 - Prob. 38ECh. 15.2 - Prob. 39ECh. 15.2 - Prob. 40ECh. 15.2 - Prob. 41ECh. 15.2 - Prob. 42ECh. 15.2 - Prob. 43ECh. 15.2 - Prob. 44ECh. 15.2 - Prob. 45ECh. 15.2 - Prob. 46ECh. 15.2 - Prob. 47ECh. 15.2 - Prob. 48ECh. 15.2 - Prob. 49ECh. 15.2 - Prob. 50ECh. 15.2 - Prob. 51ECh. 15.2 - Prob. 52ECh. 15.2 - Prob. 53ECh. 15.2 - Prob. 54ECh. 15.2 - Prob. 55ECh. 15.2 - Prob. 56ECh. 15.2 - Prob. 57ECh. 15.2 - Prob. 58ECh. 15.2 - Prob. 59ECh. 15.2 - Prob. 60ECh. 15.2 - Prob. 61ECh. 15.2 - Prob. 62ECh. 15.2 - Prob. 63ECh. 15.2 - Prob. 64ECh. 15.2 - Prob. 65ECh. 15.2 - Prob. 66ECh. 15.2 - Prob. 67ECh. 15.2 - Prob. 68ECh. 15.2 - Prob. 69ECh. 15.2 - Prob. 70ECh. 15.2 - Prob. 71ECh. 15.2 - Prob. 72ECh. 15.2 - Prob. 73ECh. 15.2 - Prob. 74ECh. 15.2 - Prob. 75ECh. 15.2 - Prob. 76ECh. 15.2 - Prob. 77ECh. 15.2 - Prob. 78ECh. 15.4 - Prob. 79ECh. 15.4 - Prob. 80ECh. 15.4 - Prob. 81ECh. 15.4 - Prob. 82ECh. 15.4 - Prob. 83ECh. 15.4 - Prob. 84ECh. 15.4 - Prob. 85ECh. 15.A - Prob. 1ECh. 15.A - Prob. 3ECh. 15.A - Prob. 4ECh. 15.A - Prob. 5ECh. 15.A - Prob. 6ECh. 15.A - Prob. 7ECh. 15.A - Prob. 8ECh. 15.A - Prob. 9ECh. 15.A - Prob. 10ECh. 15.A - Prob. 11ECh. 15.A - Prob. 12ECh. 15.A - Prob. 13ECh. 15.A - Prob. 14ECh. 15.A - Prob. 15ECh. 15.A - Prob. 16ECh. 15.A - Prob. 17ECh. 15.A - Prob. 18ECh. 15.A - Prob. 19ECh. 15.A - Prob. 20ECh. 15.A - Prob. 21ECh. 15.A - Prob. 22ECh. 15.A - Prob. 23ECh. 15.A - Prob. 24ECh. 15.A - Prob. 25ECh. 15.A - Prob. 26ECh. 15.A - Prob. 27ECh. 15.A - Prob. 28ECh. 15.A - Prob. 29ECh. 15.A - Prob. 30ECh. 15.A - Prob. 31ECh. 15.A - Prob. 32ECh. 15.A - Prob. 33ECh. 15.A - Prob. 34ECh. 15.A - Prob. 35ECh. 15.A - Prob. 36ECh. 15.A - Prob. 37ECh. 15.A - Prob. 38ECh. 15.A - Prob. 39ECh. 15.A - Prob. 40ECh. 15.A - Prob. 41ECh. 15.A - Prob. 42ECh. 15.A - Prob. 43ECh. 15 - Prob. 86CECh. 15 - Prob. 87CECh. 15 - Prob. 88CECh. 15 - Prob. 89CECh. 15 - Prob. 90CECh. 15 - Prob. 91CECh. 15 - Prob. 92CECh. 15 - Prob. 93CECh. 15 - Prob. 94CECh. 15 - Prob. 95CECh. 15 - Prob. 96CECh. 15 - Prob. 97CECh. 15 - Prob. 98CECh. 15 - Prob. 99CECh. 15 - Prob. 100CECh. 15 - Prob. 101CECh. 15 - Prob. 102CECh. 15 - Prob. 103CECh. 15 - Prob. 104CECh. 15 - Prob. 105CECh. 15 - Prob. 106CECh. 15 - Prob. 107CECh. 15 - Prob. 108CECh. 15 - Prob. 109CECh. 15 - Prob. 110CECh. 15 - Prob. 111CE
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