Learn · Introduction to Probability & Statistics (in Hindi)
Lecture 44 of 44Week 12
Lecture 36
Prof. Abhay Gopal Bhatt · ISI Delhi
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- Introduction to Probability & Statistics (in Hindi), ISI Delhi (at NPTEL)
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All the lectures
- LECTURE 1 : Random Experiments
- LECTURE 2 : Axioms of probability
- LECTURE 3 : Determining Probabilities
- LECTURE 3A : Determining Probabilities (Contd.)
- Lecture 4 : Equally Likely Events
- Lecture 4A : Equally Likely Events (Contd.)
- Lecture 5 : Conditional Probability
- Lecture 6 : Bayes’ Theorem
- Lecture 7 : Independent Events
- Lecture 7A : Independent Events (Contd.)
- Lecture 8 :Discrete Random Variables
- Lecture 9 : Probability Mass Function
- Lecture 10 : Cumulative Distribution Function
- Lecture 11 : Expectation of a Discrete Random Variable
- Lecture 12 : Variance
- Lecture 13 : Binomial Distribution
- Lecture 14 : Negative Binomial Distribution
- Lecture 15 : Hypergeometric and Poisson Distributions
- Lecture 15 A : Hypergeometric and Poisson Distributions (Contd.)
- Lecture 16 : Continuous Random Variables
- Lecture 17 : CDF Of A Continuous Distribution
- Lecture 18 : Expectation Of A Continuous Random Variable
- Lecture 18 A : Exponential And Gamma Distributions
- Lecture 19
- Lecture 20
- Lecture 21
- Lecture 22 : Expectations Of Functions Of Several Variables
- Lecture 23 : Covariance
- Lecture 24 : Correlation Coefficient
- Lecture 24 A : Statistic
- Lecture 25
- Lecture 26
- Lecture 27
- Lecture 28
- Lecture 29
- Lecture 30
- Lecture 30A
- Lecture 31
- Lecture 32
- Lecture 33
- Lecture 33 A
- Lecture 34
- Lecture 35
- Lecture 36