Subject Details
Dept     : IT
Sem      : 4
Regul    : 2017
Faculty : Dr. N.VITHYA
phone  : NIL
E-mail  : nvithya.r@gmail.com
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Lecture Notes

UNIT 1:
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Binomial, Poisson
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Moments – Moment generating functions
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Discrete and continuous random variables
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Tutorial 1
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Baye‘s theorem and problems
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Conditional probability,
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Probability. Axioms of probability
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Tutorial 2
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Geometric, Uniform
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Exponential and Normal distributions.
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Problems on distribution
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Tutorial 3
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Probability. Axioms of probability
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Binomial, Poisson
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Problems on distribution
UNIT 2:
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Introduction and Application of Two Dimensional Random Variables
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Joint distributions Discrete Random variables
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Joint distributions continuous Random variables
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Tutorial 1
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Covariance
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Correlation
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Correlation
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Tutorial 2
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Linear Regression
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Linear Regression
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Central limit theorem
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Tutorial 3
UNIT 3:
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Introduction and Application of Testing of hypothesis
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Large sample test based on Normal distribution for single mean
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Large sample test based on Normal distribution for difference of means
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Tutorial 1
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t -distribution for mean
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t -distribution for difference of means
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Chi-square distribution for population of variance
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Tutorial 2
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Chi-square distribution for Goodness of fit
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Chi-square distribution for Independence of attributes
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F - Distribution
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Tutorial 3
UNIT 4:
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Introduction and Application of Design of experiments
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Analysis of variance
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One-way classifications - Completely Randomized Design [CRD]
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Tutorial 1
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One-way classifications - Completely Randomized Design [CRD]
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Two-way classifications – Randomized Block Design [RBD]
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Latin Square Design
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Tutorial 2
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Latin Square Design
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2 square - factorial Design
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2 square - factorial Design
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Tutorial 3
UNIT 5:
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Control charts for measurements
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Control charts for measurements (X charts)
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Control charts for measurements (R charts)
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Tutorial 1
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Control charts for attributes (p charts)
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Control charts for attributes (c charts)
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Control charts for attributes (np charts)
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Tutorial 2
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Tolerance limits
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Tolerance limits
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Acceptance sampling.
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Tutorial 3

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