MA8452 , MA3251 Statistics and Numerical Methods (SNM)

 MA8452,MA3251 Statistics and Numerical Methods (SNM) 

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UNIT-1
1.Tests based on t,Chi-square and F distributions for mean**
2.Contingency table,Goodness of fit.
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UNIT-2
1.Completely randomized,Randomized block design**
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2.22 factorial design
UNIT -3
1.Gauss elimination method , Pivoting
Don't share as screenshot Stuff SEctor Gauss Jordan method 2.Iterative methods of Gauss Jacobi and Gauss Seidel
UNIT-4 1.Numerical integration using Trapezoidal, Simpson’s 1/3 rule 2. Rombergs method
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UNIT-5 1.Fourth order Runge Kutta method for solving first order equations
2. Taylors method
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SYllabuS

 UNIT I TESTING OF HYPOTHESIS

Sampling distributions – Estimation of parameters – Statistical hypothesis – Large sample tests based
on Normal distribution for single mean and difference of means -Tests based on t, Chi-square and F distributions for mean, variance and proportion – Contingency table (test for independent) -Goodness of fit.
UNIT II DESIGN OF EXPERIMENTS
One way and two way classifications – Completely randomized design – Randomized block design –Latin square design -factorial design.
UNIT III SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS 
Solution of algebraic and transcendental equations – Fixed point iteration method – Newton Raphson
method – Solution of linear system of equations – Gauss elimination method – Pivoting – Gauss Jordan
method – Iterative methods of Gauss Jacobi and Gauss Seidel – Eigenvalues of a matrix by Power
method and Jacobi’s method for symmetric matrices.
UNIT IV INTERPOLATION, NUMERICAL DIFFERENTIATION AND NUMERICAL INTEGRATION 
Lagrange’s and Newton’s divided difference interpolations – Newton’s forward and backward
difference interpolation – Approximation of derivates using interpolation polynomials – Numerical
single and double integrations using Trapezoidal and Simpson’s 1/3 rules.
UNIT V NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS 
Single step methods : Taylor’s series method – Euler’s method – Modified Euler’s method – Fourth
order Runge-Kutta method for solving first order equations – Multi step methods : Milne’s and Adams
– Bash forth predictor corrector methods for solving first order equations.
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