Subject Details
Dept     : MECHATRONICS
Sem      : 4
Regul    : 2019
Faculty : Gowri S
phone  : NIL
E-mail  : gowrisathasivam@gmail.com
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Lecture Notes

UNIT 1:
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Discrete Random variable
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Discrete Random variable
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Continuous random variables
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Continuous random variables
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Moments, Moment generating functions
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Binomial distribution
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Normal distribution
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Exponential distribution
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Poisson distribution
UNIT 2:
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Sampling distributions-Tests for single mean (large samples)
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Sampling distributions-Tests for Difference of two means(large samples)
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Sampling distributions-Tests for single Proportion(large samples)
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Sampling distributions-Tests for Difference of two Proportion(large samples)
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Sampling distributions-Tests for single mean and Difference of two means(small samples)
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Sampling distributions-Tests for single mean and Difference of two means(small samples)
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Tests for single variance and equality of variance
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Chi square test for goodness of fit-Independence of attributes.
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Chi square test for goodness of fit-Independence of attributes.
UNIT 3:
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Matrix Inversion by Gauss-Jordon method
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Iterative methods of Gauss-Seidal
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Iterative methods of Gauss-Seidal
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Newton-Raphson method
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Newton-Raphson method
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Pivoting Gauss-Jordon methods
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Pivoting Gauss-Jordon methods
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Matrix Inversion by Gauss-Jordon method
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Matrix Inversion by Gauss-Jordon method