Unit– 1:
Introduction to Descriptive Sample Measure
Lecture 1:Data Type and Scale Sample & Population
Lecture 2:Measures of Central Tendency and Dispersion
Lecture 3: Moments, Skewness & Kurtosis
Lecture 4: Correlation
Lecture 5:Regression
Unit – 2:
Probability andProbability Distribution
Lecture 6:Probability
Lecture 7:Probability and Distribution
Lecture8:Continuous Distribution
Unit – 3:
Sampling and Hypothesis Testing
Lecture 9: Point & Interval Estimation
Lecture 10:Sampling Methods
Lecture 11: Hypothesis-Large Sample Test & Chi-square Test
Lecture 12:Hypothesis-Small Sample Test, T-test & F-Test
Unit – 4:
Index Number
Lecture 13:Index Number Part-I
Lecture 14:Index Number Part-II
Lecture 15:Sample & Survey
Lecture 16: Sampling
Lecture 17: Introduction to Linear Programming and Problem Solving
Lecture 18: Linear Programming Problem formulation & Interpretation (PART-1)
Lecture 19: Linear Programming Problem formulation & Interpretation (PART-2)
Lecture 20: Use of Excel Solver Linear Programming
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