| Module Name | Download |
|---|---|
| noc19_ma08_Assignment1 | noc19_ma08_Assignment1 |
| noc19_ma08_Assignment10 | noc19_ma08_Assignment10 |
| noc19_ma08_Assignment11 | noc19_ma08_Assignment11 |
| noc19_ma08_Assignment12 | noc19_ma08_Assignment12 |
| noc19_ma08_Assignment13 | noc19_ma08_Assignment13 |
| noc19_ma08_Assignment2 | noc19_ma08_Assignment2 |
| noc19_ma08_Assignment3 | noc19_ma08_Assignment3 |
| noc19_ma08_Assignment4 | noc19_ma08_Assignment4 |
| noc19_ma08_Assignment5 | noc19_ma08_Assignment5 |
| noc19_ma08_Assignment6 | noc19_ma08_Assignment6 |
| noc19_ma08_Assignment7 | noc19_ma08_Assignment7 |
| noc19_ma08_Assignment8 | noc19_ma08_Assignment8 |
| noc19_ma08_Assignment9 | noc19_ma08_Assignment9 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Sets, Classes, Collection | Download |
| 2 | Sequence of Sets | Download |
| 3 | Ring, Field (Algebra) | Download |
| 4 | Sigma-Ring, Sigma-Field, Monotone Class | Download |
| 5 | Random Experiment, Events | Download |
| 6 | Definitions of Probability | Download |
| 7 | Properties of Probability Function-I | Download |
| 8 | Properties of Probability Function-II | Download |
| 9 | Lecture 9: Conditional Probability | Download |
| 10 | Lecture - 10 : Independence of Events | Download |
| 11 | Lecture - 11 : Problems in Probability-I | Download |
| 12 | Lecture - 12 : Problems in Probability-II | Download |
| 13 | Lecture - 13 : Random Variables | Download |
| 14 | Lecture - 14 : Probability Distribution of a Random Variable-I | Download |
| 15 | Lecture - 15 : Probability Distribution of a Random Variable-II | Download |
| 16 | Lecture - 16 : Moments | Download |
| 17 | Lecture 17: Characteristics of Distributions - I | Download |
| 18 | Lecture 18: Characteristics of Distributions - II | Download |
| 19 | Lecture 19: Special Discrete Distributions - I | Download |
| 20 | Lecture 20: Lecture 19: Special Discrete Distributions - II | Download |
| 21 | Lecture 21: Special Discrete Distributions - III | Download |
| 22 | Lecture 22: Poisson Process - I | Download |
| 23 | Lecture 23: Poisson Process - II | Download |
| 24 | Lecture 24: Special Continuous Distributions - I | Download |
| 25 | Lecture 25: Special Continuous Distributions - II | Download |
| 26 | Lecture 26: Special Continuous Distributions - III | Download |
| 27 | Lecture 27: Special Continuous Distributions - IV | Download |
| 28 | Lecture 28: Special Continuous Distributions - V | Download |
| 29 | Lecture 29: Normal Distribution | Download |
| 30 | Lecture 30: Problems on Normal Distribution | Download |
| 31 | Lecture 31: Problems on Special Distributions - I | Download |
| 32 | Lecture 32: Problems on Special Distributions - II | Download |
| 33 | Lecture 33: Function of a random variable - I | Download |
| 34 | Lecture 34: Function of a random variable - II | Download |
| 35 | Lecture 35: Joint Distributions - I | Download |
| 36 | Lecture 36: Joint Distributions - II | Download |
| 37 | Lecture 37 : Independence, Product Moments | Download |
| 38 | Lecture 38 : Linearity Property of Correlation and Examples | Download |
| 39 | Lecture 39 : Bivariate Normal Distribution - I | Download |
| 40 | Lecture 40: Bivariate Normal Distribution - II | Download |
| 41 | Lecture 41 : Additive Properties of Distributions - I | Download |
| 42 | Lecture 42: Additive Properties of Distributions - II | Download |
| 43 | Lecture 43: Transformation of Random Variables | Download |
| 44 | Lecture 44:Distribution of Order Statistics | Download |
| 45 | Lecture 45: Basic Concepts | Download |
| 46 | Lecture 46: Chi-Square Distribution | Download |
| 47 | Lecture 47: Chi-Square Distribution (Contd.), t-Distribution | Download |
| 48 | Lecture 48: F-Distribution | Download |
| 49 | Lecture 49 : Descriptive Statistics - I | Download |
| 50 | Lecture 50 : Descriptive Statistics - II | Download |
| 51 | Lecture 51 : Descriptive Statistics - III | Download |
| 52 | Lecture 52 : Descriptive Statistics - IV | Download |
| 53 | Lecture 53: Introduction to Estimation | Download |
| 54 | Lecture 54 : Unbiased and Consistent Estimators | Download |
| 55 | Lecture 55 : LSE, MME | Download |
| 56 | Lecture 56 : Examples on MME, MLE | Download |
| 57 | Lecture 57 : Examples on MLE - I | Download |
| 58 | Lecture 58 : Examples on MLE - II, MSE | Download |
| 59 | Lecture 59 : UMVUE, Sufficiency, Completeness | Download |
| 60 | Lecture 60 : Rao - Blackwell Theorem and Its Applications | Download |
| 61 | Lecture 61 : Confidence Intervals - I | Download |
| 62 | Lecture 62 : Confidence Intervals - II | Download |
| 63 | Lecture 63 : Confidence Intervals - III | Download |
| 64 | Lecture 64 : Confidence Intervals - IV | Download |
| 65 | Lecture 65 : Basic Definitions | Download |
| 66 | Lecture 66: Two Types of Errors | Download |
| 67 | Lecture 67: Neyman-Pearson Fundamental Lemma | Download |
| 68 | Lecture 68: Applications of N-P Lemma - I | Download |
| 69 | Lecture 69: Applications of N-P Lemma - II | Download |
| 70 | Lecture 70 : Testing for Normal Mean | Download |
| 71 | Lecture 71 : Testing for Normal Variance | Download |
| 72 | Lecture 72 : Large Sample Test for Variance and Two Sample Problem | Download |
| 73 | Lecture 73 : Paired t-Test | Download |
| 74 | Lecture 74 : Examples | Download |
| 75 | Lecture 75 : Testing Equality of Proportions | Download |
| 76 | Lecture 76 : Chi-Square Test for Goodness Fit - I | Download |
| 77 | Lecture 77 : Chi-Square Test for Goodnness Fit - II | Download |
| 78 | Lecture 78 : Testing for Independence in rxc Contingency Table - I | Download |
| 79 | Lecture 79 : Testing for Independence in rxc Contingency Table - II | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Sets, Classes, Collection | Download To be verified |
| 2 | Sequence of Sets | Download To be verified |
| 3 | Ring, Field (Algebra) | Download To be verified |
| 4 | Sigma-Ring, Sigma-Field, Monotone Class | Download To be verified |
| 5 | Random Experiment, Events | Download To be verified |
| 6 | Definitions of Probability | Download To be verified |
| 7 | Properties of Probability Function-I | Download To be verified |
| 8 | Properties of Probability Function-II | Download To be verified |
| 9 | Lecture 9: Conditional Probability | Download To be verified |
| 10 | Lecture - 10 : Independence of Events | Download To be verified |
| 11 | Lecture - 11 : Problems in Probability-I | Download To be verified |
| 12 | Lecture - 12 : Problems in Probability-II | Download To be verified |
| 13 | Lecture - 13 : Random Variables | Download To be verified |
| 14 | Lecture - 14 : Probability Distribution of a Random Variable-I | Download To be verified |
| 15 | Lecture - 15 : Probability Distribution of a Random Variable-II | Download To be verified |
| 16 | Lecture - 16 : Moments | Download To be verified |
| 17 | Lecture 17: Characteristics of Distributions - I | Download To be verified |
| 18 | Lecture 18: Characteristics of Distributions - II | Download To be verified |
| 19 | Lecture 19: Special Discrete Distributions - I | Download To be verified |
| 20 | Lecture 20: Lecture 19: Special Discrete Distributions - II | Download To be verified |
| 21 | Lecture 21: Special Discrete Distributions - III | Download To be verified |
| 22 | Lecture 22: Poisson Process - I | Download To be verified |
| 23 | Lecture 23: Poisson Process - II | Download To be verified |
| 24 | Lecture 24: Special Continuous Distributions - I | Download To be verified |
| 25 | Lecture 25: Special Continuous Distributions - II | Download To be verified |
| 26 | Lecture 26: Special Continuous Distributions - III | Download To be verified |
| 27 | Lecture 27: Special Continuous Distributions - IV | Download To be verified |
| 28 | Lecture 28: Special Continuous Distributions - V | Download To be verified |
| 29 | Lecture 29: Normal Distribution | Download To be verified |
| 30 | Lecture 30: Problems on Normal Distribution | Download To be verified |
| 31 | Lecture 31: Problems on Special Distributions - I | Download To be verified |
| 32 | Lecture 32: Problems on Special Distributions - II | Download To be verified |
| 33 | Lecture 33: Function of a random variable - I | Download To be verified |
| 34 | Lecture 34: Function of a random variable - II | Download To be verified |
| 35 | Lecture 35: Joint Distributions - I | Download To be verified |
| 36 | Lecture 36: Joint Distributions - II | Download To be verified |
| 37 | Lecture 37 : Independence, Product Moments | Download To be verified |
| 38 | Lecture 38 : Linearity Property of Correlation and Examples | Download To be verified |
| 39 | Lecture 39 : Bivariate Normal Distribution - I | Download To be verified |
| 40 | Lecture 40: Bivariate Normal Distribution - II | Download To be verified |
| 41 | Lecture 41 : Additive Properties of Distributions - I | Download To be verified |
| 42 | Lecture 42: Additive Properties of Distributions - II | Download To be verified |
| 43 | Lecture 43: Transformation of Random Variables | Download To be verified |
| 44 | Lecture 44:Distribution of Order Statistics | Download To be verified |
| 45 | Lecture 45: Basic Concepts | Download To be verified |
| 46 | Lecture 46: Chi-Square Distribution | Download To be verified |
| 47 | Lecture 47: Chi-Square Distribution (Contd.), t-Distribution | Download To be verified |
| 48 | Lecture 48: F-Distribution | Download To be verified |
| 49 | Lecture 49 : Descriptive Statistics - I | Download To be verified |
| 50 | Lecture 50 : Descriptive Statistics - II | Download To be verified |
| 51 | Lecture 51 : Descriptive Statistics - III | Download To be verified |
| 52 | Lecture 52 : Descriptive Statistics - IV | Download To be verified |
| 53 | Lecture 53: Introduction to Estimation | Download To be verified |
| 54 | Lecture 54 : Unbiased and Consistent Estimators | Download To be verified |
| 55 | Lecture 55 : LSE, MME | Download To be verified |
| 56 | Lecture 56 : Examples on MME, MLE | Download To be verified |
| 57 | Lecture 57 : Examples on MLE - I | Download To be verified |
| 58 | Lecture 58 : Examples on MLE - II, MSE | Download To be verified |
| 59 | Lecture 59 : UMVUE, Sufficiency, Completeness | Download To be verified |
| 60 | Lecture 60 : Rao - Blackwell Theorem and Its Applications | Download To be verified |
| 61 | Lecture 61 : Confidence Intervals - I | Download To be verified |
| 62 | Lecture 62 : Confidence Intervals - II | Download To be verified |
| 63 | Lecture 63 : Confidence Intervals - III | Download To be verified |
| 64 | Lecture 64 : Confidence Intervals - IV | Download To be verified |
| 65 | Lecture 65 : Basic Definitions | Download To be verified |
| 66 | Lecture 66: Two Types of Errors | Download To be verified |
| 67 | Lecture 67: Neyman-Pearson Fundamental Lemma | Download To be verified |
| 68 | Lecture 68: Applications of N-P Lemma - I | Download To be verified |
| 69 | Lecture 69: Applications of N-P Lemma - II | Download To be verified |
| 70 | Lecture 70 : Testing for Normal Mean | Download To be verified |
| 71 | Lecture 71 : Testing for Normal Variance | Download To be verified |
| 72 | Lecture 72 : Large Sample Test for Variance and Two Sample Problem | Download To be verified |
| 73 | Lecture 73 : Paired t-Test | Download To be verified |
| 74 | Lecture 74 : Examples | Download To be verified |
| 75 | Lecture 75 : Testing Equality of Proportions | Download To be verified |
| 76 | Lecture 76 : Chi-Square Test for Goodness Fit - I | Download To be verified |
| 77 | Lecture 77 : Chi-Square Test for Goodnness Fit - II | Download To be verified |
| 78 | Lecture 78 : Testing for Independence in rxc Contingency Table - I | Download To be verified |
| 79 | Lecture 79 : Testing for Independence in rxc Contingency Table - II | Download To be verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |