NOC:Introduction to Probability and Statistics (in Hindi)

Lecture 1 - Random Experiments

Lecture 2 - Axioms of Probability

Lecture 3 - Determining Probabilities

Lecture 4 - Determining Probabilities (Continued...)

Lecture 5 - Equally Likely Events

Lecture 6 - Equally Likely Events (Continued...)

Lecture 7 - Conditional Probability

Lecture 8 - Bayes’ Theorem

Lecture 9 - Independent Events

Lecture 10 - Independent Events (Continued...)

Lecture 11 - Discrete Random Variables

Lecture 12 - Probability Mass Function

Lecture 13 - Cumulative Distribution Function

Lecture 14 - Expectation of a Discrete Random Variable

Lecture 15 - Variance

Lecture 16 - Binomial Distribution

Lecture 17 - Negative Binomial Distribution

Lecture 18 - Hypergeometric and Poisson Distributions

Lecture 19 - Hypergeometric and Poisson Distributions (Continued...)

Lecture 20 - Continuous Random Variables

Lecture 21 - CDF Of A Continuous Distribution

Lecture 22 - Expectation Of A Continuous Random Variable

Lecture 23 - Expectation of A Continuous Random Variable (Continued...)

Lecture 24 - Normal Distribution

Lecture 25 - Jointly Distributed Discrete Random Variables

Lecture 26 - Jointly Distributed Continuous Random Variables

Lecture 27 - Expectations Of Functions Of Several Variables

Lecture 28 - Covariance

Lecture 29 - Correlation Coefficient

Lecture 30 - Statistic

Lecture 31 - Sampling Distributions

Lecture 32 - Distribution of Sample Mean

Lecture 33 - Central Limit Theorem, Distribution of a Linear Combination

Lecture 34 - Estimation

Lecture 35 - Unbiased Estimators

Lecture 36 - Standard Error of Estimators

Lecture 37 - Method of Moments

Lecture 38 - Maximum Likelihood Estimation

Lecture 39 - Invariance Principle; Confidence Intervals

Lecture 40 - Large Sample Confidence Intervals

Lecture 41 - Student's t-distribution

Lecture 42 - Tests of Hypotheses - 1

Lecture 43 - Tests of Hypotheses - 2

Lecture 44 - Tests For Population Means