Notes and Practices from Think Stats

• Exploratory Data Analysis
• Distributions
• PMF (Probability Mass Functions)
• CDF (Cumulative Distribution Functions)
• Modeling Distributions
• PDF (Probability Density Functions)
• Relationship between variables
• Estimation

Homework Notes

• How is $\bar{X} - \bar{Y}$ normally distributed if $X$ and $Y$ are normally distributed?
  • Seeing that $(\bar{X} - \bar{Y})$ is normally distributed
  • Proof of $(\bar{X} - \bar{Y})$ estimators
• From confidence interval derived from $\chi^2$ to bootstrap confidence interval
• Is the z-transform of the sampling distribution of the sample mean of a binomial RV, a standard normal distribution?

Notes from Jem N. Corcoran Lectures

• Lecture 1 (RVs, PDFs, CDFs, Indicator Notation)
• Lecture 2 (EV, Joint PDFs)
• Lecture 3 (Joint PDFs, Integration Tricks)

Notes and Practices from Practical Statistics for Data Scientists

• Exploratory Data Analysis
  • Location Estimates
  • Variability Estimates
  • Exploring Data Distribution
  • Exploring Binary and Categorical Data
  • Correlation
  • Exploring Two or More Variables
• Data and Sampling Distributions
  • Sampling Distribution of Statistic
  • Bootstrap
  • Normal Distribution
  • Long Tailed Distributions
  • Binomial Distribution
  • Chi-Square Distribution
  • Poisson Distribution
• Statistical Experiments and Significance Testing
  • Permutation Test
  • A/B Testing
  • T-test