Statistics From Scratch

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
  • Probability
    • Expected value
    • Binomial and Normal distributions
  • Statistical Methods
    • Margin of error
  • Correlation to detect relationships
  • Modeling relationships using regression
  • Regression with several predictors