Week - 1 |
Defining and calculating sample statistics |
Week - 2 |
Features of sample statistics |
Week - 3 |
Defination of probability and fundemetals |
Week - 4 |
Conditional probability, Bayes |
Week - 5 |
Random variables, probability functions, probability density functions |
Week - 6 |
Cumulative function, Chebyshev’s inequality |
Week - 7 |
Expected value and moments |
Week - 8 |
Discreate Distribution: Regular, Pascal, Binomial |
Week - 9 |
Negatif Binom, Poisson, Binom- Poisson |
Week - 10 |
Central limit Theorem, Binomial-Normal |
Week - 11 |
Continus Distributions: Regular, Exponential, Gamma |
Week - 12 |
Normal Distributions |
Week - 13 |
Standard Normal Distribution |
Week - 14 |
Application of Normal Distribution |