Intro to Applied Statistics
Introduction to Applied Statistics
1. Analyzing Data using Personality Variables
2. Data Visualization with Bitcoin Data
3. Writing Functions in Python
4. Historical Stock Prices Data Set
5. Subsetting Tables using World Airport Data and GIS Maps
6. World Cities Data Set
7. GIS Maps with National Parks Data
8. Conducting
\(t\)
-tests using Caffeine and Sleep Variables
9. Functions and Subsetting using Chattahoochee National Forest Recreation Areas
10. Nighthawks Version of Lab 6
20. A/B Testing Tools
21. A/B Testing Examples
22. Matched Pairs Testing
23. A/B Testing a Category Variable with 2 Levels
24. Bootstrapping Tools
25. Bootstrapping Examples
26. Descriptive Statistics
27. Correlation and Regression
30. Homework 10
29. Mixed Hypothesis Testing Practice
Index
