Monday, May 13, 2019
Statistic homework Case Study Example | Topics and Well Written Essays - 750 words - 1
Statistic homework - Case Study ExampleWe summarize entropy on the variables and investigate possible relationship between amount spent and the otherwise variables.This section analyzes the collected data from the sample. The section is organized into two parts, the first part offers descriptive statistics through graphical and numerical summaries season the second part analyses relationships through graphical representation and correlation analysis.Analysis of distribution of the three variables suggests a correlation between amounts spent time spent in the website. A similar trend advise also be identified between amount spent and number of pages that a customer vies. A relationship can therefore be suggested between amounts spent and both time and number of pages viewed.The compendium statistics shows that Friday had the highest number of people visiting the website and Monday followed this. Despite the frequency however, Monday had the highest connote amount spent ($ 90.65) . Monday, Friday, and Tuesday recorded the highest mean amount spent and they should be the companys target days for improving sales.The results shows that a volume of the online customers use internet explorer but these have low mean amount spent compared to users of firefox and other browsers. The results further suggest association between less popular browsers with higher expenditure rate among the online shopers.The fritter away plot suggest a positive linear relationship between time spent on a website and amount spent (r= 0.5936). Attracting and retaining customers on the website is therefore a possible strategy for improving sales. The by-line is the scatter plot.The results suggest significance of time spent on the website, number of pages viewed, day of the week, and browser guinea pig as factors to amount spent on online shopping. In order to improve its sales further, the company should counselling factors that can increase number of viewed
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