Consider techniques we have covered so far (see list below). List the techniques you are planning to use and what are you trying to address by using that technique. Identify which variable(s) in your dataset you will using for each technique. Remember, all selected techniques should support your exploration of the dataset to answer your research question. There should be a bullet for each technique with explanations.

• a) Use frequency distributions, crosstabulations (contingency tables), and graphs to describe categorical variables
• c) Use of exploratory data analysis to summarize quantitative variable
• d) Include a confidence interval to estimate a population mean
• e) Include a confidence interval to estimate a population proportion
• f) Identify an opportunity to answer a question using a t-test

(List of Variables)

Product related:Number of pages visited by visitor about product related pages

Product related duration:Total amount of time (in seconds) spent by the visitor on product related pages

Bounce rate:Average bounce rate value of the pages visited by the visitor

Exit rate:Average exit rate value of the pages visited by the visitor

Page value: Average page value of the pages visited by the visitor

Special day:Closeness of the site visiting time to a special day

Feature name Feature description/ Number of categorical values

OperatingSystems: Operating system of the visitor /8

Browser:Browser of the visitor /13

Region:Geographic region from which the session has been started by the visitor /9

Weekend:Boolean value indicating whether the date of the visit is weekend /2

Month:Month value of the visit date /12

Revenue:Class label indicating whether the visit has been finalized with a transaction /2