NPTEL : NOC:Total Quality Management-II (Management)

Co-ordinators : Prof. Raghunandan Sengupta


Lecture 1 - Introduction to Statistics

Lecture 2 - Introduction to Probability Theory

Lecture 3 - Distribution of a Random Variable - I

Lecture 4 - Distribution of a Random Variable - II

Lecture 5 - Part-I : Interval Estimation - I

Lecture 6 - Part-II : Interval Estimation - II

Lecture 7 - Confidence Interval III and the introduction to Hypothesis Testing

Lecture 8 - Hypothesis Testing

Lecture 9 - The Analysis of Variance (ANOVA) - I

Lecture 10 - The Analysis of Variance (ANOVA) - II

Lecture 11 - The Analysis of Variance (ANOVA) - III

Lecture 12 - The Analysis of Variance (ANOVA) - IV

Lecture 13 - The Analysis of Variance (ANOVA) - V

Lecture 14 - The Analysis of Variance (ANOVA) - VI

Lecture 15 - The Analysis of Variance (ANOVA) - VII and Introduction to Factorial Design

Lecture 16 - Factorial Designs - I

Lecture 17 - Factorial Designs - II

Lecture 18 - Factorial Designs - III

Lecture 19 - Factorial Designs - IV

Lecture 20 - Factorial Designs - V

Lecture 21 - Factorial Designs - VI

Lecture 22 - Factorial Designs - VII

Lecture 23 - Factorial Designs - VIII

Lecture 24 - Two level Fractional Factorial Design - I

Lecture 25 - Two level Fractional Factorial Design - II

Lecture 26 - Two level Fractional Factorial Design - III

Lecture 27 - Two level Fractional Factorial Design - IV

Lecture 28 - Two level Fractional Factorial Design - V

Lecture 29 - Two level Fractional Factorial Design - VI

Lecture 30 - Two level Fractional Factorial Design - VII

Lecture 31 - Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs - I

Lecture 32 - Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs - II

Lecture 33 - Confounding in the 3^k Factorial Design - I

Lecture 34 - Confounding in the 3^k Factorial Design - II

Lecture 35 - Fractional Replication of the 3^k Factorial Design

Lecture 36 - ​Factorials with Mixed Levels

Lecture 37 - Fitting Regression Models - I

Lecture 38 - Fitting Regression Models - II

Lecture 39 - Fitting Regression Models - III

Lecture 40 - Fitting Regression Models - IV

Lecture 41 - Fitting Regression Models - V