The 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, e.g, determining the effectiveness of promotional policies. You intend to analyze past sales data to gain insight into the business operations. On BB, under the folder Term Project, you are going to find PROJDATA.XLSX file. The 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. The Analysis: Based on this sample, you seek to answer the following questions: 2. Should you be encouraging or discouraging credit card sales? In answering this question, consider the following: a) Is the proportion of credit and non-credit sales significantly different? (a=.05) b) Is the average sale amount for credit sales different than the average sales amount for non-credit sales? (a=.05)

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Author:Amos Gilat
Publisher:Amos Gilat
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100%
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

Please showhow you would compute answers in excel spreedsheet. The excel prodecure

The 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, e.g. determining the effectiveness of
promotional policies. You intend to analyze past sales data to gain insight into the business
operations.
On BB, under the folder Term Project, you are going to find PROJDATA.XLSX file. The 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.
The Analysis:
Based on this sample, you seek to answer the following questions:
2. Should you be encouraging or discouraging credit card sales? In answering this question,
consider the following:
a) Is the proportion of credit and non-credit sales significantly different? (a=.05)
b) Is the average sale amount for credit sales different than the average sales amount for
non-credit sales? (a=.05)
Transcribed Image Text:The 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, e.g. determining the effectiveness of promotional policies. You intend to analyze past sales data to gain insight into the business operations. On BB, under the folder Term Project, you are going to find PROJDATA.XLSX file. The 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. The Analysis: Based on this sample, you seek to answer the following questions: 2. Should you be encouraging or discouraging credit card sales? In answering this question, consider the following: a) Is the proportion of credit and non-credit sales significantly different? (a=.05) b) Is the average sale amount for credit sales different than the average sales amount for non-credit sales? (a=.05)
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