Probability and Statistics 1: The Complete Guide

Probability and Statistics 1: The Complete Guide

Learn everything fast through concise yet contented lectures

What you’ll learn

  • representation and characterisation of data
  • elementary probability theory
  • combinatorics
  • rules for computing probabilities
  • conditional probability and independence of events
  • discrete random variables and their probability distributions
  • expectation value of a discrete random variable
  • examples of discrete random variables
  • moment generating functions
  • continuous random variables and their probability distributions
  • expectation value of a continuous random variable
  • examples of continuous random variables
  • Chebyshev’s theorem
  • bivariate probability distributions
  • expectations of functions of random variables
  • covariance
  • independent random variables
  • sums of independent random variables
  • hypothesis testing

Requirements

  • Basic Calculus, particularly simple differentiation and integration 🙂

Who this course is for:

  • high school students
  • university students
  • courses that require probability and statistics (e.g. computer science, and other sciences)

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