Weeks Lecture Topics (Module Titles)
1 Day 1 Module 1: Meaning and Scope of Statistics
Day 2 Module 2: Collection of Data
Day 3 Module 3: Classification and Tabulation
Day 4 Discussion
Day 5 Assignment
2 Day 1 Module 4: Diagrammatic and Graphic Representation of Data – I: Diagrams
Day 2 Module 5: Diagrammatic and Graphic Representation of Data – II: Graphs
Day 3 Module 6: Diagrammatic and Graphic Representation of Data – III: Graphs
Day 4 Discussion
Day 5 Assignment
3 Day 1 Module 7: Measures of Central Tendency– Arithmetic Mean
Day 2 Module 8: Measures of Central Tendency– Median and Mode
Day 3 Module 9: Partition values
Day 4 Discussion
Day 5 Assignments
4 Day 1 Module 10: Harmonic Mean and Geometric Mean
Day 2 Module 11: Measures of dispersion-I: Quartile Deviation and Standard deviation type
Day 3 Module 12: Measures of Dispersion – II - Range, Mean Deviation, Relative Measures and Coefficient of Variation
Day 4 Discussion
Day 5 Assignment
5 Day 1 Module 13: Skewness and Kurtosis
Day 2 Module 14: Correlation and Regression – Part I: Correlation
Day 3 Module 15: Correlation and Regression – Part II: Regression
Day 4 Discussion
Day 5 Assignment
6 Day 1 Module 16: Random Experiment, Sample Space and Events and Probability
Day 2 Module 17: Conditional Probability and Independence of events
Day 3 Module 18: Bayes’ Theorem
Day 4 Discussion
Day 5 Assignment
7 Day 1 Module 19: Random variable-Discrete type
Day 2 Module 20: Random variable-Continuous type
Day 3 Module 21: Mathematical Expectation
Day 4 Discussion
Day 5 Assignment
8 Day 1 Module 22: Moments and mgf
Day 2 Module 23: Discrete Random variables – I (Bernoulli and Binomial random variables)
Day 3 Module 24: Discrete Random variables – II (Geometric random variable)
Day 4 Discussion
Day 5 Assignment
9 Day 1 Module 25: Discrete Random variables – III (Poisson random variable)
Day 2 Module 26: Discrete Random variables – III (Discrete Uniform and Negative Binomial random variables)
Day 3 Module 27: Continuous Random variables – I (Uniform random variable)
Day 4 Discussion
Day 5 Assignment
10 Day 1 Module 28: Continuous Random variables – II (Exponential and Gamma random variable)
Day 2 Module 29: Continuous Random variables – III (Normal distribution)
Day 3 Module 30: Continuous Random variables – IV (Standard normal distribution)
Day 4 Discussion
Day 5 Assignment
11 Day 1 Module 31: Law of Large Numbers
Day 2 Module 32: Sampling Distributions and Chi-square Distribution
Day 3 Module 33: Student’s t- Distribution Snedecor’ s F-Distribution
Day 4 Discussion
Day 5 Assignment
12 Day 1 Module 34: Estimation of Parameters – Point Estimation
Day 2 Module 35: Estimation of Parameters –Interval Estimation
Day 3 Module 36: Methods of Estimation-Methods of MLE and Moments
Day 4 Discussion
Day 5 Assignment
13 Day 1 Module 37: Testing of Hypothesis
Day 2 Module 38: Testing of Hypothesis – More Problems
Day 3 Module 39: Large sample tests
Day 4 Discussion
Day 5 Assignment
15 Day 1 Module 40 : Small sample tests
Day 2
Day 3 Assignment
Day 4 Final Discussion
Day 5
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