UNIT 1:
Continuous random variables
Continuous random variables
Moment generating functions
Binomial & Poisson distribution
Binomial & Poisson distribution
Poisson & Exponential distribution
Poisson & Exponential distribution
Exponential & Normal distribution
Exponential & Normal distribution
UNIT 2:
Sampling distributions-Tests for Difference of two means(large samples)
Sampling distributions-Tests for Difference of two means(large samples)
Sampling distributions-Tests for Difference of two means(large samples)
Sampling distributions-Tests for single mean and Difference of two means(small samples)
Sampling distributions-Tests for single mean and Difference of two means(small samples)
Tests for single variance and equality of variance
Chi square test for goodness of fit-Independence of attributes.
Chi square test for goodness of fit-Independence of attributes.
UNIT 3:
Pivoting Gauss Jordan methods
Pivoting Gauss Jordan methods
Iterative methods of Gauss-Seidal
Iterative methods of Gauss-Seidal
Matrix Inversion by Gauss-Jordan method
Matrix Inversion by Gauss-Jordan method
Matrix Inversion by Gauss-Jordan method
UNIT 4:
Numerical integration using Trapezoidal rules.
Newton’s forward difference interpolation
Numerical integration using Simpson’s 1/3rd rules.
Numerical integration using Trapezoidal rules.
UNIT 5:
Single step methods: Taylor’s series method
Fourth order Runge-Kutta method for solving first order equations
Multi step methods: Milne’s predictor-corrector methods for solving first order equations
