Sampling distributions – Tests for single mean, proportion, Difference of means (large and small samples) – Tests for single variance and equality of variances – Chi square test for goodness of fit-Independence of attributes.
Completely Randomized Design – Randomized block design – Latin square Design – 22 factorial design.
SOLUTIONS OF EQUATIONS AND EIGEN VALUE PROBLEMS
Newton Raphson method – Gauss Elimination method – Pivoting Gauss Jordan methods – Iterative methods of Gauss – Jacobi and Gauss – Seidal – Matrix Inversion by Gauss – Jordan method – Eigenvalues of a matrix by power method.
INTERPOLATION, NUMERICAL DIFFERENTIATION AND NUMERICAL INTEGRATION
Lagrange’s and Newton’s divided difference interpolation – Newton’s forward and backward difference interpolation – Approximation of derivatives using interpolation polynomials – Numerical integration using Trapezoidal and Simpson’s 1/3rd rules.
NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS
Taylor’s series method-Euler’s method – Modified Euler’s Method – Fourth order Runge -Kutta method for solving first and second order equations – Milne’s Predictor – corrector methods for solving first order equations.
Reference Book:
1. Spiegel,M.R., Schiller, J. and Srinivasan,R.A., "Schaum’s Outlines Probabilty and Statistics”, Tata McGraw Hill edition, 3rd Edition, 2011 (UNIT-I,II)
2. Chapra, S.C and Canale, R.P. “Numerical Methods for Engineers”, 6th Edition, Tata McGraw Hill Edition, 2014 (UNIT-III,IV,V)
Text Book:
1.Johnson, R.A., and Gupta,C.B., Miller and Freund’s, “Probability and statistics for Engineers”, Pearson Education Asia,8th Edition, 2011. (UNIT-I,II)
2.Grewal, B.S and Grewal, J.S, “Numerical methods in Engineering and Science”, 9th Edition, Khanna Publishers, New Delhi, 2012 (UNIT-III,IV,V)
