MCL761
| MCL761 | |
|---|---|
| probability and Statistics | |
| Credits | 3 |
| Structure | 3-0-0 |
| Pre-requisites | |
| Overlaps | |
MCL761 : probability and Statistics
[edit]Probability Laws, Random Variables, Conditional Probability and Bayes Theorem, Important Random Variables and their properties, Joint Probability Distributions, Law of Total Probability, Law of Large Numbers, Central Limit Theorem, Estimation Theory, Parameter Estimation, Hypothesis Testing using Parametric and Non-Parametric Methods, Goodness of fit tests, ANOVA, Linear Regression (Simple, Generalized) and Logistics Regression.