Numerical Analysis And Statistical Techniques Tuition Classes

Numerical Analysis And Statistical Techniques Tuition Classes
Details Syllabus Content For Numerical Analysis And Statistical Techniques Are As Follows. Cfa Academy Of Career Development Provide Tuition Classes For Numerical Analysis And Statistical Techniques.
Probability Theory: Conditional Probability, Baye’s Theorem, Random Variable: Discrete Probability Distribution, Continuous Probability Distribution, Expectation, Moments, Moment Generating Function, Skewness, Kurtosis, Binomial Distribution, Poisson Distribution, Normal Distribution, Curve Fitting: Principle Of Least Square Method Of Least Square And Curve Fitting For Linear And Parabolic Curve .
Correlation Coefficient, Rank Correlation, Line Of Regressions And Properties Of Regression Coefficients, Anova, Sampling Distribution: Testing Of Hypothesis, Level Of Significance, Sampling Distribution Of Mean And Variance, Chi-Square Distribution, Student’s T- Distribution, F- Distribution, Fisher’s Z- Distribution.
Numerical Methods: Solution Of Algebraic And Transcendental Equations Using Bisection Method, Regula-Falsi Method And Newton – Raphson Method. Solution Of Linear Simultaneous Equations Using Gauss-Jacobi’s Iteration Method And Gauss-Seidal’s Iteration Methods. Finite Differences: Forward Differences, Backward Differences And Central Differences. Interpolation: Newton’s Interpolation For Equi-Spaced Values. Stirling’s Central Difference Interpolation Formula, Divided Differences And Interpolation Formula In Terms Of Divided Differences, Lagrange’s Interpolation Formula For Unequi-Spaced Values.
Numerical Differentiation, Maxima And Minima Of A Tabulated Function. Numerical Integration: Newton-Cote’s Quadrature Formula, Trapezoidal Rule, Simpson’s One-Third Rule And Simpson’s Three-Eighth Rule .Numerical Solution Of Ordinary Differential Equations: Picard’s Method, Taylor’s Method,Euler’s Method, Modified Euler’s Method, Runge-Kutta Method Of Fourth Order.