### CME 106 ― Introduction to Probability and Statistics for Engineers

My twin brother

Afshine and

I created this set of cheatsheets when I was a TA for Stanford's CME 106 class in Winter 2018. They can (hopefully!) be useful to all future students taking this course as well as to anyone else interested in learning the fundamentals of Probabilities and Statistics.

**Cheatsheet**

- • Basics and probability distributions
- • Random variables, expectation and moments
- • Conditional probability, joint distributions

- • Mean and variance estimation
- • Confidence intervals, hypothesis testing
- • Regression and correlation analysis

**Takeaways**

**Matlab tips**

- • Installation and first steps
- • Built-in functions, vectors, matrices, operators
- • Functions, plots and good practices

- • Discrete distribution functions: uniform, binomial, Poisson
- • Continuous distribution functions: uniform, normal, exponential