Research and Statistical Analysis Report

Question: Discuss about the Research and Statistical Analysis Report. Answer: Introduction Being a leading fashion stores in Australia, Ice-vanilla bring various types of designs and trends into the fashion world (Leys et al., 2013). They have various types of customers across genders, age group, marital status and other aspects. These customers have different values regarding their net sales. Some of these customers get promotional offers from the company while some of these customers do not get the promotional offers. In this assignment, the information regarding the customers would be analyzed and these data would be interpreted to understand the perspectives of the customers. Analysis would be done across the genders, marital status and net sales of the customers. Graphs and tables would be provided to provide a pictorial view of the data. Body of report The variables in the database are type of customers, items, net sales, method of payment, gender, marital status, age, and state. The scale of measurement of type of customer is ordinal scale, items are ratio scale, net sales are ratio scale, method of payment is ordinal variable, gender is nominal scale, marital scale is nominal scale, age is ratio scale and state is nominal variable. The discrete variables are types of customers, items, method of payment, gender, marital status and state. The continuous variables are net sales and age. The data collected in the sample is cross sectional data. This is because the data had been collected at a same point of time and it is collected by observing various subjects like gender, age, net profit and other variables. The complete descriptive statistics of the variable net sales is given below: Net Sales Mean 138.55663 Standard Error 5.02319042 Median 118.384 Mode 71.52 Standard Deviation 71.03864018 Sample Variance 5046.488399 Kurtosis 3.083340779 Skewness 1.683391591 Range 378.1028 Minimum 49.476 Maximum 427.5788 Sum 27711.326 Count 200 Largest(1) 427.5788 Smallest(1) 49.476 Confidence Level (95.0%) 9.905512992 Table 1: table of descriptive statistics of net sales (Source: created by author) It is seen that the average value of the variable net sales is found to be 138.55663units and the mode of the variable was found to be 71.52. The standard deviation of the variable was found to be 71.03864018 and the variance was found to be 5046.488399 (Leys et al., 2013). This shows that the variation of the data points from its mean is high and the values of the variable are highly spread across the data set. The minimum value of the variable was found to be 49.47 units while the maximum value of the variable was found to be 427.5788 units. The range of the value of net sales is found to be 378.1028. This shows that there is a large difference between the minimum and maximum values. The kurtosis of the variable net sales is 3.083340779 while the skewness of this variable is 1.68. This shows that the variable is positively skewed and the distribution of the data is leptokurtic distribution. The coefficient of variation of the variable net sales was found to be 0.512704734 (Kock, 20 13). It can be interpreted that extent of variability of the data set with respect to mean was found to be 51.27%. The frequency table of the gender is given below: gender frequency Female 87 Male 113 Table 2: frequency table of gender (Source: created by author) It is seen that the number of female customers in the sample were 87 while the number of male customers in the sample are 113 (Jann, 2015). It can be interpreted that the number of male customers in the survey is greater than the number of female customers in the survey. Marital status frequency Married 123 Single 77 Table 3: frequency of marital status (Source: created by author) The frequency table of the variable marital status shows, that the number of samples who are married is 123 while the number of people who are single is 77. This shows the numbers of customers who are married are more than the number of customers who are single. The correlation coefficient between age and net sales was found to be 0.007772 (McAuliffe, 2015). It can be interpreted that there exists a positive and weak relationship between the two variables. It can be interpreted that with the change in age the net sales changes in the same direction. However, the strength of relationship is weak. It is seen that most of the samples use Priority Club card and AMEX and Visa credit cards are used least by the samples (Abowd McKinney, 2016). It is seen that promotional offers are used by VIP people. The bar chart shows that the number VIP people are more than the number of people who are RE. Thus, it can be interpreted that the promotional event was successful. Conclusion It can be concluded that the both discrete and continuous variable had been used in the data and there are variables of nominal, ordinal and ratio scale. The data used was cross sectional data. The descriptive statistics of the variable net sales had been given. It is seen that the more number of males than females and the number of males in the sample was found to be 113 while the number of females were found to be 87. It was seen that 123 samples in the data were married while remaining were unmarried. The correlation coefficient between age and net sales was found to be 0.007772. Priority club card users had most of the users than the members who do not have the club cards. This shows that the promotional programs were found to be effective. References Abowd, J. M., McKinney, K. L. (2016). Noise infusion as a confidentiality protection measure for graph-based statistics. Statistical Journal of the IAOS, 32(1), 127-135. Jann, B. (2015). FRE: Stata module to display one-way frequency table. Statistical Software Components. Kock, N. (2013). Using WarpPLS in E-Collaboration Studies: Descriptive Statistics, Settings. Interdisciplinary Applications of Electronic Collaboration Approaches and Technologies, 62. Leys, C., Ley, C., Klein, O., Bernard, P., Licata, L. (2013). Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. Journal of Experimental Social Psychology, 49(4), 764-766. McAuliffe, R. E. (2015). Coefficient of variation. Wiley Encyclopedia of Management.