16:53

Discrete Uniform Distribution - Derivation of Mean, Variance, and MGF (Simple Version)

11:06

Discrete Uniform Distribution Derivation of MGF (in English)

21:37

Discrete Uniform Distribution Derivation of Variance (in English)

07:46

Discrete Uniform Distribution Derivation of Mean (in English)

14:43

Student's t Distribution: Derivation of Variance (in English)

15:26

Student's t Distribution: Derivation of Mean (in English)

43:58

Student's t Distribution: Derivation of PDF

54:05

Proof: Ratio of Sample and Population Variance has a Chi Squared Distribution

07:46

Proof: Sum of Chi Squared distribution is a Chi Squared Distribution

16:01

Proof: Sum of Squares of Norm Distribution is a Chi Squared Distribution

29:54

Sample Mean and Variance Independence Proof

41:09

Derivation of Moments of Normal Distribution

07:46

Math Logic: Tautology and Contradiction

13:28

Math Logic: How to fill-up truth tables

16:45

Math Logic: Statements or Propositions and Connectives

45:22

Double Exponential Distribution | Derivation of Mean, Variance & MGF (in English)

03:52

Proof: Integral of PDF of Exponential Distribution = 1 (in English)

02:16

Proof: Integral of PDF of Beta Distribution = 1 (in English)

02:32

Proof: Sum of PMF of Poisson Distribution = 1 (in English)

02:07

Proof: Sum of PMF of Uniform Distribution (Continuous) = 1 (in English)

06:39

Proof: Integral of PDF of Weibull Distribution = 1 (in English)

03:17

Proof: Sum of PMF of Geometric Distribution = 1 (English)

24:56

Beta Distribution | Derivation of Mean, Variance & MGF (in English)

19:22

Log-Normal Distribution | Derivation of Mean, Variance & Moments (in English)

22:56

Weibull Distribution | Derivation of Mean, Variance & Moments (in English)

12:38

Proof: Gamma - Beta Function Relationship Identity

15:50

Chi Squared Distribution | Derivation of Mean, Variance & Moment Generating function (MGF) (English)

24:07

Normal Distribution | Derivation of Mean, Variance & Moment Generating Function (MGF) in English

04:01

Proof: Summation of PMF of Binomial Distribution = 1 (English)

01:58

Proof: Summation of PMF of Bernoulli Distribution = 1 (English)

03:23

Proof: Summation of PMF of Hypergeometric Distribution = 1 (English)

12:46

Proof of Vandermonde's Identity (English)

06:19

Proof: Integral of PDF of Normal Distribution is Equal to 1 (in English)

29:03

Integral of e^(-x^2). Gaussian Integral Evaluation

18:13

Exponential Distribution - Derivation of Mean, Variance & Moment Generating Function (MGF) (English)

19:56

Gamma Distribution - Derivation of Mean, Variance & Moment Generating Function (MGF) (English)

10:16

Proof: Γ(α+1) = αΓ(α) and Γ(n) = (n-1)!

04:16

Proof: Integral of PDF of Gamma Distribution is Equal to 1 (English).

24:04

Geometric Distribution - Derivation of Mean, Variance & Moment Generating Function (English)

40:31

Negative Binomial Distribution - Derivation of Mean, Variance & Moment Generating Function (English)

31:35

HyperGeometric Distribution - Derivation of Mean and Variance (English)

10:29

Proof: Summation of PMF of Negative Binomial Distribution is equal to 1 (One) in English

09:05

Proof of Newton's Binomial Theorem (English)

18:18

Poisson Distribution - Derivation of Mean, Variance & Moment Generating Function in English

22:37

Binomial Distribution - Derivation of Mean, Variance & Moment Generating Function in English

10:47

Uniform Distribution (Continuous) - Derivation of Mean, Variance & Moment Gen. Function (in English)

05:13

Bernoulli Distribution - Derivation of Mean, Variance & Moment Generating Function (English)