I took a few Statistics classes as electives to finish my undergraduate degree (18 years later—another subject for another time). They were both using R, which I enjoyed learning because I already knew a little about Python and it was interesting to see how R differed from Python.
The classes were actually a lot of fun, and they sparked my interest in statistics as a field in general.
As a result, I decided to write this guide to help me codify my knowledge of the subject.
- Describing and summarizing data
- Frequency distributions
- Measuring variation in data
- Expected value
- Binomial and Normal distributions
- Statistical Methods
- Margin of error
- Correlation to detect relationships
- Modeling relationships using regression
- Regression with several predictors