NOC:Total Quality Management-II


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