Introduction
First, this analysis assesses the importance of each of the following different attributes and their respective respondent’s shopping area selection. The descriptive analysis shows that the average mean of the eight attributes is 4. This means that each attribute is essential to the selection of the respondent's shopping area. However, the analysis found no mode on all eight attributes. The range was 6 while the standard deviation in population mean estimation was found to be 2.16. The analysis also demonstrated that the minimum value among the five number summarized was 1, the median of 4, first quartile of 2 and third quartile of 6. The table below shows the attributes:
18. Easy to return/exchange goods |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
19. The high quality of goods |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
20. Low prices |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
21. Good variety of sizes/styles |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
22. Sales staff helpful/friendly |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
23. Convenient shopping hours |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
24. Clean stores and surroundings |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
25. A lot of bargain sales |
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
T |
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Easy to return/exchange goods mean will be equal to = (7+6+5+4+3+2+1)/7 = 4
Considering that all the eight attributes have equal values, the mean of 4 will apply to the variables from 18-25. This may be interpreted that as by the customers, each variable is equally important.
On one hand, mode represents a common number that occurs more frequently. In this analysis, the variables from 18-25 have no number that is frequently repeated. Thus, it is clear that measurement for each attributed was done once.
On the other hand, range shows the difference between the smallest and largest number. Therefore, the variables' range can be calculated as 7-1. This implies that range also confirms the importance of each variable while choosing a shopping area. The standard deviation of 2.160 shows the deviation of each attribute from the average.