NPTEL : Statistics for Experimentalists (Chemical Engineering)

Co-ordinators : Dr. A. Kannan


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