Subject Details
Dept     : FTECH
Sem      : 4
Regul    : 2019
Faculty : S.Sindhuja
phone  : NIL
E-mail  : sindhuja.171@gmail.com
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Lecture Notes

UNIT 1:
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Sampling distributions
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Statistical hypothesis
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Tests for single mean and Difference of means (large samples)
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Tests for single mean and Difference of means (small samples)
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Tests for single variance and equality of variance
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Tests for single variance and equality of variance
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Chi square test for goodness of fit
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Chi square test -Independence of attributes
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Chi square test -Independence of attributes
UNIT 2:
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Completely randomized design
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Completely randomized design
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Completely randomized design
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Randomized block design
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Randomized block design
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Randomized block design
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Applications of ANOVA
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Latin square design
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Latin square design
UNIT 3:
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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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Iterative methods of Gauss-Seidal
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Iterative methods of Gauss-Seidal
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Matrix Inversion by Gauss-Jordon method
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Matrix Inversion by Gauss-Jordon method
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Matrix Inversion by Gauss-Jordon method
UNIT 4:
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Lagranges interpolation
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Lagranges interpolation
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Newtons forward difference interpolation
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Newtons backward difference interpolation
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Approximation of derivatives using interpolation polynomials
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Approximation of derivatives using interpolation polynomials
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Numerical integration using Trapezoidal rules.
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Numerical integration using Simpsons 1/3 rules.
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Numerical integration using Simpsons 1/3 rules.
UNIT 5:
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Taylors series method
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Eulers method
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Modified Eulers method
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Fourth order Runge-kutta method for solving first and second order equations
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Fourth order Runge-kutta method for solving first and second order equations
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Fourth order Runge-kutta method for solving first and second order equations
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Milnes predictor - Corrector methods for solving first order equations
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Milnes predictor - Corrector methods for solving first order equations
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Milnes predictor - Corrector methods for solving first order equations