- This project focused on using statistical analysis in python to extract insights from the data set
- Used best practice EDA and data wrangling to prepare the data set for analysis
- Used hypothesis testing to determine if users spent more time on a new website landing page vs. the old one
- Gained experience with finding p-values and using contingency tables to find if one variable depends on another
- Ran important statistical tests on the data set; 2 Sample T Test, 2 Sample Z Test, Chi-Square Test, ANOVA, Shapiro-Wilkes, Levene's
-
Notifications
You must be signed in to change notification settings - Fork 0
randallgann/E-News-A-B-Testing
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Statistical analysis of a data set conducted as part of UT McCombs post graduate degree program.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published