Lecture 1 - Introduction
Lecture 2 - Random Variables
Lecture 3 - Discrete Probability Distributions
Lecture 4 - Example Set - I
Lecture 5 - Continuous probability distributions
Lecture 6 - Normal probability distribution
Lecture 7 - Exploratory Data Analysis - Part A
Lecture 8 - Exploratory Data Analysis - Part B
Lecture 9 - Example Set - II
Lecture 10 - Example Set - III
Lecture 11 - Random samples: Sampling distribution of the mean (Part A)
Lecture 12 - Random samples: Sampling distribution of the mean (Part B)
Lecture 13 - Point Estimation
Lecture 14 - Sampling distributions and the Central Limit Theorem
Lecture 15 - Example Set - IV Part A
Lecture 16 - Estimation of Population Parameters Using Moments
Lecture 17 - Confidence Intervals (Part A)
Lecture 18 - Confidence Intervals (Part B)
Lecture 19 - The T-distribution
Lecture 20 - Chi-square distribution
Lecture 21 - F-Distribution
Lecture 22 - Example Set - V
Lecture 23 - Hypothesis Testing - Part A
Lecture 24 - Hypothesis Testing - Part B
Lecture 25 - Hypothesis Testing - Part C
Lecture 26 - Analysis of Experiments involving Single Factor - Part A
Lecture 27 - Analysis of Experiments involving Single Factor - Part B
Lecture 28 - Blocking and Randomization
Lecture 29 - Example Set - VI - Part A
Lecture 30 - Example Set - VI - Part B
Lecture 31 - Factorial Design of Experiments - Part A
Lecture 32 - Factorial Design of Experiments - Part B: 22 Factorial Design
Lecture 33 - Fractional Factorial Design - Part A
Lecture 34 - Fractional Factorial Design - Part B
Lecture 35 - Factorial Design of Experiments: Example Set (Part A)
Lecture 36 - Factorial Design of Experiments: Example Set (Part B)
Lecture 37 - Factorial Design of Experiments: Example Set (Part C)
Lecture 38 - Regression Analysis: Part A
Lecture 39 - Regression Analysis: Part B
Lecture 40 - Hypothesis Testing in Linear Regression
Lecture 41 - Discussion on Regression Output
Lecture 42 - Regression Analysis: Example Set 8
Lecture 43 - Regression Analysis: Example Set 8 (Continued...)
Lecture 44 - Regression Analysis: Example Set 8 (Continued...)
Lecture 45 - Orthogonal Model Fitting Concepts - Part A
Lecture 46 - Orthogonal Model Fitting Concepts - Part B
Lecture 47 - Experimental Design Strategies - A
Lecture 48 - Experimental Design Strategies - B
Lecture 49 - Experimental Design Strategies - C
Lecture 50 - Response Surface Methodology - A
Lecture 51 - Response Surface Methodology - B
Lecture 52 - Optimal Designs - Part A
Lecture 53 - Optimal Designs - Part B
Lecture 54 - Statistics for Experimentalists - Summary Part A
Lecture 55 - Statistics for Experimentalists - Summary Part B
