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.

Cheatsheets

Probability
Probability
  • Basics and probability distributions
  • Random variables, expectation and moments
  • Conditional probability, joint distributions
PDF Web
Statistics
Statistics
  • Mean and variance estimation
  • Confidence intervals, hypothesis testing
  • Regression and correlation analysis
PDF Web

Takeaways

Key concepts
Key concepts
  • Using a distribution table
  • Mean and variance confidence intervals
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Distribution tables
Distribution tables
  • Gaussian distribution
  • Student's t-distribution
  • Chi-squared distribution
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Common questions
Common questions
  • Definition of poker hands
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Matlab tips

Getting started
Getting started
  • Installation and first steps
  • Built-in functions, vectors, matrices, operators
  • Functions, plots and good practices
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Course functionalities
Course functionalities
  • Discrete distribution functions: uniform, binomial, Poisson
  • Continuous distribution functions: uniform, normal, exponential
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Would you like to see this set of cheatsheets in your native language? You can help us translating them on GitHub!