Introduction
This section presents the findings and interpretation of the survey. The quantitative data was analyzed using both descriptive and inferential statistics. The descriptive statistics was used to describe and summarize the data inform of tables, frequencies and percentages. The inferential statistics was used to help make inferences and draw conclusions, ( Mertler, & Reinhart, 2016) . Correlation analysis was used to establish the relationship between high quality of goods and good variety of sizes/styles, sales staff helpful/friendly, convenient shopping hours, clean stores and surroundings as well as relationship between high quality of goods and a lot of bargain sales. All tests of significance were computed at α = 0.05. The Microsoft office excel was used to analyze the data.
The data used in this study was drawn from the population of 150 respondents who were shopping from different malls including Springdale, downtown and west mall . The return rate of the questionnaires was 100% from the respondents. The characteristics of the respondents were summarized in Table 1 below.
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Table 1 : Descriptive and inferential statistics of the sampled variables
| Variables | Easy to return/ exchange goods | High quality of goods | Low prices | Good variety of sizes/ styles | Sales staff helpful/friendly | Convenient shopping hours | Clean stores and surroundings | A lot of bargain sales |
| Mean |
4.83333 |
5.40000 |
5.63333 |
4.97333 |
4.78667 |
4.99333 |
4.71333 |
5.13333 |
| Mode |
7.00000 |
7.00000 |
7.00000 |
7.00000 |
6.00000 |
6.00000 |
7.00000 |
7.00000 |
| Range |
6.00000 |
6.00000 |
6.00000 |
6.00000 |
6.00000 |
6.00000 |
6.00000 |
6.00000 |
| Standard deviation |
2.10528 |
2.05589 |
1.91282 |
1.87953 |
1.83516 |
1.89911 |
1.90905 |
1.88208 |
| Minimum |
1.00000 |
1.00000 |
1.00000 |
1.00000 |
1.00000 |
1.00000 |
1.00000 |
1.00000 |
| First quartile (Q1) |
3.00000 |
4.00000 |
5.00000 |
4.00000 |
4.00000 |
4.00000 |
3.00000 |
4.00000 |
| Median (Q2) |
5.00000 |
6.50000 |
7.00000 |
5.00000 |
5.00000 |
6.00000 |
5.00000 |
6.00000 |
| Third quartile (Q3) |
7.00000 |
7.00000 |
7.00000 |
6.75000 |
6.00000 |
6.00000 |
6.00000 |
7.00000 |
| Maximum |
7.00000 |
7.00000 |
7.00000 |
7.00000 |
7.00000 |
7.00000 |
7.00000 |
7.00000 |
| Z-score |
1.02916 |
0.77825 |
0.71448 |
1.07829 |
0.66116 |
0.53007 |
1.19780 |
0.99181 |
| Correlations |
0.22607 |
0.32307 |
0.38939 |
0.28791 |
0.14436 |
According to the results in Table 1, the mean response of the respondents on the variable whether it is easy to return/exchange goods is 4.8333 with a standard deviation of 2.1053. The range and mode are 6 and 7 respectively. In addition, the results indicate that the variable’; easy to return/exchange goods had a minimum value of 1 with 3 being the first quartile value. The median and 3 rd quartile is 5 and 7 respectively while the maximum score value is 7. The z-score value is 1.0292.
On the identification of outliers, first and foremost, outliers can be the values which are odd or extremely low or high compared with other variables in the any given trend. Using the z-score, outliers are detected in the following variables; Easy to return/exchange goods, Good variety of sizes/styles and Clean stores and surroundings whose z-score values are >1.
The most important attributes in the respondent's choice of shopping area are High quality of goods, Low prices and A lot of bargain sales, ( Christopher, 2016) . The least important attributes in the respondent's choice of shopping area are Easy to return/exchange goods, Good variety of sizes/styles, Sales staff helpful/friendly, Convenient shopping hours and Clean stores and surroundings. In statistics, mean is a measure of the central tendency hence it is in a position to show areas where data is concentrated. Based on this, the higher the mean the higher the number of response on the item and vice versa. In this case, the mean has been used to make this decision because the identified variables had a mean of 5 and above compared to other variables whose means score were <5.
Correlation analysis was used to establish the relationship between high quality of goods and good variety of sizes/styles, sales staff helpful/friendly, convenient shopping hours, clean stores and surroundings as well as relationship between high quality of goods and a lot of bargain sales. Given that the p>0-.05 of all these variables in the correlation analysis, indicates that there is no statistical significant association between High quality of goods and good variety of sizes/styles, sales staff helpful/friendly, convenient shopping hours, clean stores and surroundings as well as relationship between high quality of goods and a lot of bargain sales . Therefore, it is just by chance that the respondents responded differently on the listed variables but there are no associations between the variables.
In conclusion, shopping from different malls in one way or the other does not depend on the High quality of goods, good variety of sizes/styles, sales staff helpful/friendly, convenient shopping hours, clean stores and surroundings and goods and a lot of bargain sales . However, the respondents will do their shopping irrespective of these variables since they do not relate with the shopping preferences among the respondents.
References
Christopher, M. (2016). Logistics & supply chain management . Pearson UK.
Mertler, C. A., & Reinhart, R. V. (2016). Advanced and multivariate statistical methods: Practical application and interpretation . Routledge.
