For the rest of the lab, you will make the assumption that your data is approximately normally distributed. Use Excel to answer the following questions for the Net Sales data. Copy and paste the output below, don’t include as a separate file, make sure your x axis is labelled properly. You will have to “insert” your graphs in the appropriate places below. Please don’t upload more than one file for me to open and grade, your entire lab should be in ONE uploaded file. If you can’t do that, then print out the separate files and then scan it in as one file, but you should be able to figure out how to copy and paste all your answers into one document.
Shade the area where the lowest 10% of the values would be.
What is the Z-score for this area? _________________
What is the x-value for this area? __________________
Row | Items | Sales | Card Type | Gender | Country | Age | Martial Status |
1 | 19 | $50.61 | visa-electron | Male | China | 35 | 2 |
2 | 14 | $105.37 | mastercard | Female | China | 22 | 2 |
3 | 11 | $90.21 | maestro | Female | Russia | 52 | 2 |
4 | 20 | $280.84 | visa | Male | China | 38 | 1 |
5 | 18 | $265.68 | jcb | Male | China | 44 | 1 |
6 | 19 | $103.63 | americanexpress | Female | Indonesia | 56 | 2 |
7 | 17 | $215.00 | jcb | Male | Dominican Republic | 51 | 1 |
8 | 20 | $168.06 | laser | Male | Czech Republic | 25 | 1 |
9 | 3 | $181.42 | maestro | Female | China | 41 | 1 |
10 | 11 | $240.51 | mastercard | Female | China | 44 | 1 |
11 | 17 | $260.56 | jcb | Male | China | 58 | 1 |
12 | 17 | $170.56 | jcb | Female | Belarus | 28 | 2 |
13 | 14 | $71.42 | diners-club-carte-blanche | Male | Sweden | 41 | 1 |
14 | 3 | $242.23 | diners-club-carte-blanche | Female | Indonesia | 58 | 2 |
15 | 15 | $250.44 | visa-electron | Male | Latvia | 41 | 2 |
16 | 4 | $71.80 | jcb | Male | New Zealand | 20 | 2 |
17 | 6 | $33.62 | diners-club-us-ca | Male | United States | 48 | 2 |
18 | 17 | $81.35 | diners-club-enroute | Female | Colombia | 44 | 2 |
19 | 13 | $67.09 | maestro | Male | China | 53 | 1 |
20 | 3 | $262.41 | jcb | Female | Lithuania | 22 | 1 |
21 | 16 | $204.28 | jcb | Female | Indonesia | 23 | 2 |
22 | 2 | $289.74 | jcb | Female | Vietnam | 28 | 2 |
23 | 1 | $33.45 | china-unionpay | Male | China | 29 | 2 |
24 | 19 | $154.19 | jcb | Female | Botswana | 46 | 2 |
25 | 20 | $43.29 | diners-club-enroute | Male | Argentina | 58 | 2 |
26 | 5 | $96.97 | jcb | Male | Russia | 42 | 2 |
27 | 1 | $46.62 | jcb | Male | Ecuador | 21 | 2 |
28 | 17 | $241.04 | jcb | Male | China | 41 | 1 |
29 | 6 | $251.64 | switch | Female | Sudan | 58 | 1 |
30 | 1 | $115.24 | visa-electron | Female | Canada | 52 | 1 |
31 | 10 | $263.42 | jcb | Male | France | 44 | 2 |
32 | 10 | $274.67 | jcb | Female | Italy | 32 | 2 |
33 | 1 | $69.59 | jcb | Female | Switzerland | 48 | 2 |
34 | 17 | $136.30 | china-unionpay | Male | China | 44 | 2 |
35 | 7 | $201.52 | jcb | Male | Macedonia | 26 | 2 |
36 | 8 | $51.44 | switch | Female | Papua New Guinea | 51 | 1 |
37 | 11 | $52.95 | jcb | Male | Czech Republic | 48 | 2 |
38 | 19 | $162.89 | china-unionpay | Female | China | 36 | 2 |
39 | 5 | $160.09 | jcb | Female | China | 38 | 1 |
40 | 6 | $91.28 | jcb | Female | Brazil | 39 | 1 |
41 | 4 | $140.53 | mastercard | Female | Indonesia | 26 | 2 |
42 | 15 | $190.36 | visa | Male | Greece | 57 | 1 |
43 | 10 | $181.57 | americanexpress | Male | Philippines | 46 | 2 |
44 | 1 | $65.59 | jcb | Female | China | 31 | 1 |
45 | 3 | $49.01 | laser | Female | United States | 49 | 2 |
46 | 16 | $88.05 | jcb | Female | France | 54 | 2 |
47 | 9 | $193.79 | jcb | Male | Indonesia | 38 | 1 |
48 | 5 | $39.55 | mastercard | Female | Indonesia | 24 | 2 |
49 | 1 | $32.56 | jcb | Male | Japan | 23 | 1 |
50 | 2 | $54.52 | china-unionpay | Male | Ireland | 43 | 1 |
51 | 19 | $161.89 | jcb | Male | China | 57 | 1 |
52 | 2 | $59.63 | maestro | Male | Cyprus | 35 | 1 |
53 | 13 | $257.81 | bankcard | Male | China | 38 | 1 |
54 | 15 | $166.53 | laser | Male | South Africa | 50 | 1 |
55 | 15 | $253.02 | diners-club-carte-blanche | Female | Canada | 39 | 2 |
56 | 16 | $193.56 | americanexpress | Female | China | 30 | 2 |
57 | 18 | $80.57 | china-unionpay | Male | Brazil | 30 | 1 |
58 | 18 | $250.29 | jcb | Male | Yemen | 41 | 1 |
59 | 15 | $46.79 | jcb | Female | Japan | 42 | 1 |
60 | 18 | $276.56 | laser | Male | Slovenia | 32 | 2 |
61 | 14 | $135.13 | jcb | Male | Tanzania | 31 | 1 |
62 | 14 | $195.58 | jcb | Female | China | 42 | 1 |
63 | 15 | $182.98 | visa | Female | China | 52 | 2 |
64 | 8 | $221.03 | jcb | Male | Zimbabwe | 29 | 1 |
65 | 3 | $128.11 | jcb | Female | China | 40 | 1 |
66 | 19 | $76.60 | diners-club-carte-blanche | Female | Indonesia | 38 | 1 |
67 | 13 | $27.07 | jcb | Female | China | 59 | 2 |
68 | 4 | $109.20 | diners-club-carte-blanche | Male | Russia | 48 | 2 |
69 | 4 | $276.85 | jcb | Male | Uruguay | 57 | 2 |
70 | 19 | $195.10 | jcb | Male | Sao Tome and Principe | 25 | 1 |
71 | 5 | $112.23 | instapayment | Male | Zambia | 41 | 1 |
72 | 15 | $61.94 | jcb | Female | Nigeria | 41 | 1 |
73 | 4 | $35.08 | jcb | Female | China | 35 | 2 |
74 | 20 | $60.13 | switch | Male | China | 23 | 2 |
75 | 6 | $277.11 | visa-electron | Female | Portugal | 54 | 2 |
76 | 5 | $220.47 | jcb | Female | Russia | 37 | 2 |
77 | 14 | $185.57 | laser | Male | Russia | 53 | 2 |
78 | 19 | $295.96 | diners-club-enroute | Male | Greece | 51 | 1 |
79 | 12 | $238.86 | visa | Female | Indonesia | 45 | 2 |
80 | 3 | $275.81 | visa-electron | Female | Indonesia | 26 | 2 |
81 | 7 | $77.07 | visa | Female | Portugal | 57 | 1 |
82 | 2 | $252.58 | mastercard | Female | Russia | 45 | 2 |
83 | 4 | $134.78 | jcb | Male | Japan | 29 | 1 |
84 | 3 | $43.49 | americanexpress | Male | Indonesia | 48 | 2 |
85 | 1 | $223.78 | jcb | Male | Mexico | 53 | 2 |
86 | 8 | $238.74 | jcb | Female | China | 28 | 2 |
87 | 9 | $291.30 | americanexpress | Male | Togo | 44 | 1 |
88 | 14 | $79.46 | jcb | Female | Finland | 54 | 2 |
89 | 16 | $193.73 | jcb | Male | Indonesia | 57 | 1 |
90 | 13 | $224.23 | visa-electron | Female | Pakistan | 23 | 2 |
91 | 16 | $247.43 | mastercard | Female | Honduras | 27 | 1 |
92 | 9 | $186.11 | jcb | Male | China | 56 | 2 |
93 | 17 | $58.48 | jcb | Male | China | 53 | 2 |
94 | 1 | $281.40 | jcb | Female | Philippines | 46 | 2 |
95 | 10 | $254.37 | bankcard | Male | Brazil | 42 | 1 |
96 | 8 | $145.00 | jcb | Female | Indonesia | 50 | 2 |
97 | 20 | $122.35 | jcb | Female | Sweden | 25 | 2 |
98 | 1 | $210.77 | jcb | Male | Portugal | 50 | 1 |
99 | 7 | $225.37 | diners-club-carte-blanche | Female | South Africa | 43 | 2 |
100 | 18 | $87.98 | maestro | Male | China | 37 | 2 |
Solution:
Here, we have to find the lowest 10% area of the sales data.
From given sales data, we have
Mean = 158.2483
SD = 83.74811
Minimum = 27.07
Maximum = 295.96
(By using excel)
Now, we have to find Z score for lowest 10% area.
Z = -1.28155
(By using z-table/excel)
Now, we have to find X value for this area, which is given as below:
X = Mean + Z*SD
X = 158.2483 + (-1.28155)* 83.74811
X = 158.2483 – 1.28155*83.74811
X = 50.92091
What is the Z-score for this area?
Z = -1.28155
What is the x-value for this area?
X = 50.92091
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