Math 2.0

Resources / course

Introduction to Probability & Statistics (in Hindi) Y46TF8R8D0

URIm2://res/Y46TF8R8D0
Kindcourse
CreatorsAbhay Gopal Bhatt (instructor)
Date2025-07-20
Scopein

Expressions

e1: edition

Languagehi
Date2025-07-20
Contents
  • part 1: Week 1
  • session 1: LECTURE 1 : Random Experiments
  • session 2: LECTURE 2 : Axioms of probability
  • session 3: LECTURE 3 : Determining Probabilities
  • session 4: LECTURE 3A : Determining Probabilities (Contd.)
  • part 2: Week 2
  • session 5: Lecture 4 : Equally Likely Events
  • session 6: Lecture 4A : Equally Likely Events (Contd.)
  • session 7: Lecture 5 : Conditional Probability
  • session 8: Lecture 6 : Bayes’ Theorem
  • part 3: Week 3
  • session 9: Lecture 7 : Independent Events
  • session 10: Lecture 7A : Independent Events (Contd.)
  • session 11: Lecture 8 :Discrete Random Variables
  • session 12: Lecture 9 : Probability Mass Function
  • part 4: Week 4
  • session 13: Lecture 10 : Cumulative Distribution Function
  • session 14: Lecture 11 : Expectation of a Discrete Random Variable
  • session 15: Lecture 12 : Variance
  • part 5: Week 5
  • session 16: Lecture 13 : Binomial Distribution
  • session 17: Lecture 14 : Negative Binomial Distribution
  • session 18: Lecture 15 : Hypergeometric and Poisson Distributions
  • session 19: Lecture 15 A : Hypergeometric and Poisson Distributions (Contd.)
  • part 6: Week 6
  • session 20: Lecture 16 : Continuous Random Variables
  • session 21: Lecture 17 : CDF Of A Continuous Distribution
  • session 22: Lecture 18 : Expectation Of A Continuous Random Variable
  • session 23: Lecture 18 A : Exponential And Gamma Distributions
  • part 7: Week 7
  • session 24: Lecture 19
  • session 25: Lecture 20
  • session 26: Lecture 21
  • part 8: Week 8
  • session 27: Lecture 22 : Expectations Of Functions Of Several Variables
  • session 28: Lecture 23 : Covariance
  • session 29: Lecture 24 : Correlation Coefficient
  • session 30: Lecture 24 A : Statistic
  • part 9: Week 9
  • session 31: Lecture 25
  • session 32: Lecture 26
  • session 33: Lecture 27
  • part 10: Week 10
  • session 34: Lecture 28
  • session 35: Lecture 29
  • session 36: Lecture 30
  • session 37: Lecture 30A
  • part 11: Week 11
  • session 38: Lecture 31
  • session 39: Lecture 32
  • session 40: Lecture 33
  • session 41: Lecture 33 A
  • part 12: Week 12
  • session 42: Lecture 34
  • session 43: Lecture 35
  • session 44: Lecture 36

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