Other links:

Other links:

Probability and Statistics

This course provides an elementary introduction to probability and statistics. The topics that we cover in the course include:

  • Elements of discrete probability
  • Random variables: discrete, continuous
  • A brief introduction to R 
  • Expectation, variance, covariance, and moment generating functions 
  • Probabilistic inequalities: Markov, Chebyshev
  • Weak variant of law of large numbers
  • Special probability distributions
    • Uniform, Bernoulli, Binomial, Negative Binomial, Geometric, Poisson, Normal
    • Some distributions arising from Normal: Gamma, Chi-square, t-distribution
  • Generating discrete/continuous distributions  
  • Descriptive statistics 
  • Distribution of sampling statistics
  • Central Limit Theorem
  • Parameter Estimation
  • Hypothesis Testing
  • Regression

Study at Ashoka

Study at Ashoka