Consider techniques (see list below). List the techniques you should use and what can you address by using that technique. Identify which variable(s) in your dataset you should use for each technique.

a) Use frequency distributions, crosstabulations (contingency tables), and graphs to describe categorical variables

B) 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

( This is the list of variables I recommend for you to use)

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

VisitorType:Visitor type 'New Visitor,'' ''Returning Visitor,'' and ''Other''/ 3

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