Quantitative Methods Report: Shoe Price Fluctuation Analysis

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QUANTITATIVE METHOD
1

Executive summary
The basic purpose of the report is to simplify the variable in such a manner that they can be
evaluated and interpreted in the most appropriate and feasible manner. In this report, four
variables have been taken for the purpose of analysis. Before the data analysis, data collection
needs to be done. The main research methodology that has been used in this project is
observation.
2

Table of Contents
Executive summary............................................................................................................................2
Business Problem................................................................................................................................4
Statistical problem..............................................................................................................................5
Analysis...............................................................................................................................................6
Conclusion........................................................................................................................................15
References.........................................................................................................................................16
3

Business Problem
The main business problem which is existing within the firm is that the price of variable that is
shoes is fluctuating between the countries of Thailand, China and Singapore. With this the
fluctuations in prices of variable between the gender of men and women has also been evaluated.
The nature of cost and price are also varying which can be said that the relationship between cost
as well as price is fluctuating in nature (Harrison and Lock, 2017).
4

Statistical problem
In the given problem, it has been observed that there are variation in prices across the different
nations. It is important and accordingly equally important to have a clear understanding
regarding the pattern of shoe prices (Kerzner, 2017). This problem need to be carefully resolved
and for this purpose statistical tools and techniques have been duly applied. Data analytical tools
have been adequately used in order to draw reasonable conclusions. The output will ultimately
help in the decision making process.
5

Analysis
1.
Women -
Thaliand
43 43 112 112 112 124 124 124 133 143 143 143 163
163 173 177 183 185 186 186 186 207 213 223 265 265
Men -
Thaliand
133 123 29 29 193 183 139
6

Women - Singapore
41 43 45 49 51 55 55 55 65 65 69
69 73 75 75 83 89 133 139 159 188
Men - Singapore
43 185 185 183 117 111 177 97 69 57 65 36
7

Women - China
34 36 38
Men - China
183 38 138 199 243 163 252 223 213 153
159 188 36 46 126 66 48 116 193 183
139 117 111 69 66 175 155 74 66 175
2.
8

Female
Male
Total
0 20 40 60 80 100 120
50
49
99
Frequency of Gender
Thailand Singapore China Total
0
20
40
60
80
100
120
26
21
3
50
7
12
30
49
33 33 33
99
Frequnecy of Gender and Countr y
Female Male Total
9

Price of Male shoes
133 123 29 29 193 183 139 43 185 185 183 117 111
177 97 69 57 65 36 183 38 138 199 243 163 252
223 213 153 159 188 36 46 126 66 48 116 193 183
139 117 111 69 66 175 155 74 66 175
Price of Female shoes
34 36 38 41 43 43 43 45 49 51 55 55 55
65 65 69 69 73 75 75 83 89 112 112 112 124
124 124 133 133 139 143 143 143 159 163 163 173 177
183 185 186 186 186 188 207 213 223 265 265
10

Thailand
Singapore
China
Total
0 20 40 60 80 100 120
Country Bar Graph
Gende
r
Frequenc
y
Female 50
Male 49
Total 99
Gende
r
Thailand Singapor
e
China Total
Female 26 21 3 50
Male 7 12 30 49
Total 33 33 33 99
Thailan
d
Singapor
e
China Total
33 33 33 99
11

3.
Price of Female shoes
Mean 118.30
Standard Error 9.07
Median 118.00
Mode 43.00
Standard
Deviation
64.14
Sample Variance
4113.6
4
Kurtosis -0.77
Skewness 0.44
Range 231.00
Minimum 34.00
Maximum 265.00
Sum
5915.0
0
Count 50.00
Price of Male shoes
Mean 127.90
Standard Error 8.96
Median 133.00
Mode 183.00
Standard Deviation 62.69
Sample Variance 3929.5
5
Kurtosis -1.13
Skewness -0.03
Range 223.00
Minimum 29.00
Maximum 252.00
Sum 6267.0
0
Count 49.00
12