Based on this sample, you seek to answer the following questions: 1. What is the lag effectiveness of the current advertising policy? In answering this question, consider the following: Docs the averags amount of sales differ 0, 1. and 2 weeks after an advertisement? (a=05)
Based on this sample, you seek to answer the following questions: 1. What is the lag effectiveness of the current advertising policy? In answering this question, consider the following: Docs the averags amount of sales differ 0, 1. and 2 weeks after an advertisement? (a=05)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
Hints: to complete, you may have to apply the following techniques
Hypothesis test for the difference between means
Hypothesis test for proportions
ANOVA
Transaction ID | Sale Amount | Gender | Payment Type | Promotion Type | Weeks After Advertisement |
1 | 50.8 | Female | Non-Credit | None | 2 |
2 | 93.5 | Male | Non-Credit | BOGO | 2 |
3 | 70.2 | Female | Non-Credit | BOGO | 1 |
4 | 36.3 | Female | Non-Credit | None | 0 |
5 | 71.5 | Female | Non-Credit | BOGO | 1 |
6 | 79.7 | Male | Credit | BOGO | 0 |
7 | 60.3 | Female | Credit | Coupon | 1 |
8 | 74.5 | Male | Credit | None | 0 |
9 | 86.4 | Female | Credit | BOGO | 0 |
10 | 20.6 | Male | Credit | None | 2 |
11 | 39.8 | Male | Credit | None | 2 |
12 | 67.4 | Male | Non-Credit | Coupon | 1 |
13 | 52.2 | Female | Non-Credit | Coupon | 2 |
14 | 99.9 | Female | Credit | None | 0 |
15 | 68.9 | Male | Non-Credit | Coupon | 1 |
16 | 74.5 | Male | Non-Credit | BOGO | 0 |
17 | 88.5 | Female | Non-Credit | None | 1 |
18 | 88 | Female | Non-Credit | BOGO | 1 |
19 | 64.6 | Female | Credit | Coupon | 1 |
20 | 55.8 | Female | Non-Credit | None | 2 |
21 | 73 | Male | Non-Credit | BOGO | 1 |
22 | 64 | Female | Credit | Coupon | 1 |
23 | 73.7 | Female | Credit | BOGO | 1 |
24 | 58.7 | Female | Credit | Coupon | 2 |
25 | 70.1 | Female | Non-Credit | Coupon | 2 |
26 | 78.7 | Female | Credit | Coupon | 0 |
27 | 85.1 | Female | Credit | BOGO | 0 |
28 | 66.3 | Male | Credit | Coupon | 1 |
29 | 62.8 | Male | Credit | BOGO | 1 |
30 | 75.4 | Female | Non-Credit | Coupon | 0 |
31 | 53.3 | Female | Non-Credit | BOGO | 2 |
32 | 65.2 | Female | Credit | Coupon | 1 |
33 | 59.2 | Male | Non-Credit | Coupon | 1 |
34 | 104.6 | Female | Non-Credit | Coupon | 2 |
35 | 67.3 | Female | Non-Credit | None | 1 |
36 | 51.5 | Male | Non-Credit | Coupon | 2 |
37 | 81.4 | Male | Non-Credit | Coupon | 0 |
38 | 49.6 | Female | Non-Credit | None | 1 |
39 | 62.3 | Female | Credit | Coupon | 1 |
40 | 54.8 | Male | Credit | Coupon | 2 |
41 | 63.4 | Male | Non-Credit | Coupon | 1 |
42 | 47.4 | Male | Credit | None | 1 |
43 | 65.9 | Male | Credit | Coupon | 1 |
44 | 42.2 | Female | Credit | None | 2 |
45 | 36.8 | Male | Non-Credit | None | 0 |
46 | 88.1 | Female | Non-Credit | BOGO | 1 |
47 | 57.8 | Male | Non-Credit | Coupon | 2 |
48 | 96.7 | Female | Credit | BOGO | 0 |
49 | 77 | Female | Non-Credit | Coupon | 0 |
50 | 93 | Female | Credit | BOGO | 0 |
51 | 70.5 | Female | Non-Credit | BOGO | 1 |
52 | 66.5 | Female | Non-Credit | Coupon | 1 |
53 | 84.4 | Male | Non-Credit | None | 0 |
54 | 27.6 | Male | Non-Credit | BOGO | 2 |
55 | 59 | Male | Non-Credit | Coupon | 2 |
56 | 49.1 | Male | Non-Credit | None | 1 |
57 | 54.4 | Female | Non-Credit | Coupon | 2 |
58 | 63.4 | Female | Credit | Coupon | 1 |
59 | 95.1 | Female | Non-Credit | BOGO | 0 |
60 | 69.3 | Female | Non-Credit | Coupon | 2 |
61 | 72.2 | Female | Credit | BOGO | 1 |
62 | 39.1 | Male | Credit | None | 0 |
63 | 69.4 | Female | Non-Credit | Coupon | 2 |
64 | 60.7 | Male | Non-Credit | Coupon | 1 |
65 | 65.2 | Female | Non-Credit | Coupon | 1 |
66 | 74.5 | Female | Credit | BOGO | 0 |
67 | 44.1 | Male | Non-Credit | BOGO | 2 |
68 | 83.1 | Female | Non-Credit | BOGO | 0 |
69 | 30.3 | Male | Credit | None | 2 |
70 | 49.8 | Male | Credit | None | 1 |
71 | 39.5 | Male | Non-Credit | None | 0 |
72 | 48.9 | Female | Credit | None | 1 |
73 | 70.8 | Male | Credit | BOGO | 1 |
74 | 78.5 | Male | Non-Credit | Coupon | 0 |
75 | 107.9 | Female | Non-Credit | BOGO | 0 |
76 | 101 | Female | Non-Credit | BOGO | 2 |
77 | 47.3 | Female | Non-Credit | None | 2 |
78 | 82 | Female | Non-Credit | BOGO | 0 |
79 | 110.6 | Female | Credit | BOGO | 0 |
80 | 73.7 | Female | Non-Credit | BOGO | 1 |
81 | 27 | Male | Credit | None | 2 |
82 | 68.9 | Female | Non-Credit | Coupon | 1 |
83 | 43.2 | Female | Credit | None | 2 |
84 | 61.5 | Male | Credit | Coupon | 1 |
85 | 59.5 | Male | Non-Credit | Coupon | 1 |
86 | 28.2 | Male | Non-Credit | None | 2 |
87 | 83.9 | Female | Non-Credit | BOGO | 0 |
88 | 50 | Male | Credit | None | 1 |
89 | 91.4 | Female | Non-Credit | BOGO | 0 |
90 | 55.8 | Female | Non-Credit | Coupon | 2 |
91 | 45.4 | Male | Non-Credit | None | 2 |
92 | 103.8 | Female | Credit | BOGO | 2 |
93 | 69.5 | Female | Credit | Coupon | 2 |
94 | 69.6 | Female | Non-Credit | Coupon | 2 |
95 | 72.9 | Male | Non-Credit | BOGO | 1 |
96 | 67.1 | Female | Credit | None | 1 |
97 | 53.8 | Male | Non-Credit | Coupon | 2 |
98 | 94.1 | Female | Credit | Coupon | 0 |
99 | 58.3 | Female | Non-Credit | Coupon | 2 |
100 | 86.4 | Female | Non-Credit | Coupon | 1 |

Transcribed Image Text:ASK AN EXPERT
Case Scenario:
Congratulations. You have just inherited your uncle's business, which is a clothing store. Although the
business was successful, your uncle was a "seat of the pants" type of businessman. There was never any
sales analysis conducted concerning, c.g. determining the effectiveness of promotional policies. You
intend to analyze past sales data to gain insight into the business operations.
The following data in this file corresponds to a random sample of 100 sales transactions that took place
over the previous year. Because all transactions took place during the previous year and all transactions
took place on Saturdays, on non-holiday weekends, you are confident that seasonal and cyclical effects
are absent from the data.
Case Analysis: (use excel functions when necessary. Thank yor)
Based on this sample, you seek to answer the following questions:
1. What is the lag effectiveness of the current advertising policy? In answering this question, consider
the following:
a) Does the average amount of sales differ 0, 1, and 2 weeks after an advertisement? (a=.05)
b) Test the hypothesis that the average amount of sales 0 weeks after an advertisement is larger than
the average amount of sales 2 weeks after an advertisement. (a-.05)
Expert Solution
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Follow-up Questions
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Follow-up Question
Using the same data and information. Please answer this:
- Should you be encouraging or discouraging credit card sales? In answering this question, consider the following:
- Is the proportion of credit and non-credit sales significantly different? (a=.05)
Is the average sale amount for credit sales different than the average sales amount for non-credit sales? (a=.05)
Solution
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