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CSE - Probability and Statistics

7 Chapters 33 Video Lectures Notes + PYQs PDF
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Ch. 1 Ch. 2 Ch. 3 Ch. 4 Ch. 5 Ch. 6 Ch. 7
L1 - Introduction to counting, Applications, Permutations and Combinations Explanation
L2 - Rules, Quick Decision Table, Examples. Rules for Identifying Permutations and Combinations
L3 - Permutations, Examples 1-10
L4 - Permutations Examples 11-20
L5 - Permutations Examples 21-30
L6 - Combinations, Examples 1-10
L7 - Combinations, Examples 11-20
L8 - Solutions to Problems 1-5
L9 - Solutions to Problems 6-10
L10 - Solutions to Problems 11-20
L11 - Introduction, Motivation, Data Collection and Sampling
L12 - Measures of Central Tendency and Variability | Solutions to Problems 21-26
L13 - Probability Theory | Axioms | Rules | Examples
L14 - Conditional Probability | Bayes Theorem | Multiple Events | Examples
L15 - Conditional Probability | Bayes Theorem | GATE PYQs 1–10
L16 - Conditional Probability | Bayes Theorem | GATE PYQs 11–20
L17 - Probability Theory | Solutions to Problems 27–46
L18 - Random Variables, Discrete and Continuous
L19 - Overview of Discrete Probability Distribution and PMF
L20 - Overview of Continuous Probability Distribution and PDF
L24 - Expectation of Random Variable and Function of Random Variable
L26 - Variance and Covariance and Examples
L27 - Linear Combinations | Solutions to Problems 54–65
L28 - Solutions to GATE PYQs (Solutions to Problems 66–72)
L29 - Binomial Distribution and Examples
L30 - Poisson Distribution and Examples
L31 - Discrete Uniform Distribution and Examples
L32 - Solutions to Problems 73–94
L33 - Continuous Uniform Distribution and Examples
L34 - Exponential Distribution and Examples
L35 - Normal and Standard Distribution and Examples
L37 - Solutions to Problems 95–104
L38 - Solutions to Problems 105–113