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Statistic homework - Case Study Example

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The analysis seeks to investigate existence and nature of relationships between amount that online shoppers spend during their visits to the website and both time spent on the website and number of pages viewed on the website. Heavenly Chocolates developed a website for selling…
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Statistic homework
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We summarize data on the variables and investigate possible relationship between amount spent and the other 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 while 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 can 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 summary 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 mean amount spent ($ 90.65). Monday, Friday, and Tuesday recorded the highest mean amount spent and they should be the company’s target days for improving sales.

The results shows that a majority 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 scatter 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 following is the scatter plot. The results suggest significance of time spent on the website, number of pages viewed, day of the week, and browser type as factors to amount spent on online shopping. In order to improve its sales further, the company should focus factors that can increase number of viewed

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