Descriptive statistics with SPSS

The goal of this homework is to create a managerial report with an analysis of website transaction data using descriptive statistics. This report will be fully created on SPSS.

File WebsiteTransactions.xlsx  Download WebsiteTransactions.xlsxcontains data about website sales corresponding to a small business that makes and sells swimwear using fully recyclable materials. To learn more about the website customers, a sample of 100 transactions was selected from the previous month’s sales. Data showing the day of the week each transaction was made, the type of browser the customer used, the time spent on the web site, the number of web pages viewed, and the amount spent by each of the customers are contained in the file.

For this question you will submit the .sav file and .spv file. When creating the file output (.spv file), make sure questions are answered in the same order as below, and that the output corresponds to the information requested only. If you generate an output that you are unhappy with, that is incorrect, or that is not part of the question, make sure to delete it.

Try to have the .spv file as clean as possible, as this should be considered a professional report. For instance, you may delete the logs which just add clutter to the output. In the .spv file, you can also go to tab "Insert" and insert headers, titles, or text in the middle of the output (you will have to do the latter).

  1. Start by importing the data into SPSS. Make sure all variables measures are correct.
  2. Create a graphical and numerical summary for time a shopper spends on the website, the number of pages viewed, and the amount spent per transaction. For each of these attributes create:
    1. A histogram. (Note: In SPSS, you do not need to create new variables for histograms, only for frequency tables.)
    2. The following descriptive statistics: mean, median, mode, standard deviation, first and third quartile, and maximum and minimum observed values. 
    3. Write a little text (about two lines) describing what you can learn from the analysis above about each attribute. Think about what you would say to someone if you were to explain the behavior of each such attribute, and that person did not have the Excel file in front of them. In the .spv file, go to tab "Insert" and select text.

3. Now, you will study the browser usage. This information is important in designing the website, to make sure it is fully compatible with the most commonly used browsers. It may also reveal some potential issues with the website (if the most commonly used website is X, but your data shows that most people use website Y, it may be because users cannot complete a transaction using website X, and thus need to change to another).

    1. Report the percentage number of transactions per browser. You can either use a table or a bar-chart.

4. You will now report the possible relationship between the time spent on the website and the amount spent in $.

    1. Develop a scatter chart to explore the relationship between the time spent on the website and the dollar amount spent. Use the horizontal axis for the time spent on the website.
    2. What can you conclude? Does there seem to be any correlation between the two? If so, is it positive or negative? Write a little text discussing your findings.

 


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