Lecture-01: Introduction to Statistics

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Lecture-02: Introduction to Probability Theory

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Lecture-03: Distribution of a Random Variable - I

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Lecture-04: Distribution of a Random Variable - II

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Lecture-05(Part-I): Interval Estimation - I

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Lecture-05(Part-II): Interval Estimation - II

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Lecture 06: Confidence Interval III and the introduction to Hypothesis Testing

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Lecture 07: Hypothesis Testing

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Lecture 08: The Analysis of Variance (ANOVA) - I

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Lecture 09: The Analysis of Variance (ANOVA) - II

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Lecture 10: The Analysis of Variance (ANOVA) - III

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Lecture 11: The Analysis of Variance (ANOVA) - IV

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Lecture 12: The Analysis of Variance (ANOVA) - V

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Lecture 13: The Analysis of Variance (ANOVA) - VI

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Lecture 14: The Analysis of Variance (ANOVA) - VII and Introduction to Factorial Design

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Lecture 15: Factorial Designs - I

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Lecture 16: Factorial Designs - II

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Lecture 17: Factorial Designs - III

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Lecture 18: Factorial Designs - IV

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Lecture 19: Factorial Designs - V

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Lecture 20: Factorial Designs - VI

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Lecture 21: Factorial Designs - VII

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Lecture 22: Factorial Designs - VIII

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Lecture 23: Two level Fractional Factorial Design - I

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Lecture 24: Two level Fractional Factorial Design - II

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Lecture 25: Two level Fractional Factorial Design - III

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Lecture 30: Additional Design and Analysis Topics for Factorial and Fractional Factorial Designs - I

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Lecture 28: Two level Fractional Factorial Design - VI

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

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Lecture 32: Confounding in the 3^k Factorial Design - I

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Lecture 33: Confounding in the 3^k Factorial Design - II

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Lecture 34: Fractional Replication of the 3^k Factorial Design

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Lecture 35: Factorials with Mixed Levels

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Lecture 36: Fitting Regression Models - I

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Lecture 37: Fitting Regression Models - II

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Lecture 38: Fitting Regression Models - III

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Lecture 39: Fitting Regression Models - IV

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Lecture 40: Fitting Regression Models - V

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