{"id":163852,"date":"2024-01-18T12:38:43","date_gmt":"2024-01-18T07:08:43","guid":{"rendered":"https:\/\/www.aplustopper.com\/?p=163852"},"modified":"2024-01-18T16:37:30","modified_gmt":"2024-01-18T11:07:30","slug":"ma3251-statistics-and-numerical-methods-syllabus","status":"publish","type":"post","link":"https:\/\/www.aplustopper.com\/ma3251-statistics-and-numerical-methods-syllabus\/","title":{"rendered":"MA3251 – Statistics And Numerical Methods Syllabus Regulation 2021 Anna University"},"content":{"rendered":"
Anna University, Subject code – MA3251, deals with the B.E civil Engineering Semester – II Statistics And Numerical Methods syllabus regulation 2021 relating to affiliated institutions. From here, Students can get assistance in preparing notes to excel in academic performance.<\/p>\n
We include every topic of the Statistics And Numerical Methods Syllabus, to understand the subject very well. It will help you to improve your idea of syllabus of MA3251 – Statistics And Numerical Methods Syllabus on your finger tips to go ahead in a clear path of preparation. In this following article Statistics And Numerical Methods\u00a0Syllabus<\/a>, will help you, Hope you share with your friends.<\/p>\n If you want to know more about the syllabus of B.E Civil Engineering connected to an affiliated institution\u2019s under four-year undergraduate degree programme. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E Civil Engineering Syllabus Anna University, Regulation 2021.<\/a><\/p>\n Aim Of Concept:<\/strong><\/p>\n MA3251 – Statistics And Numerical Methods Syllabus<\/strong><\/p>\n Unit I:<\/strong> Testing Of Hypothesis<\/p>\n Sampling distributions – Tests for single mean, proportion and difference of means (Large and small samples) \u2013 Tests for single variance and equality of variances \u2013 Chi square test for goodness of fit \u2013 Independence of attributes.<\/p>\n Unit II:<\/strong> Design Of Experiments<\/p>\n One way and two way classifications – Completely randomized design \u2013 Randomized block design \u2013 Latin square design – 22 factorial design.<\/p>\n Unit III:<\/strong> Solution Of Equations And Eigenvalue Problems<\/p>\n Solution of algebraic and transcendental equations – Fixed point iteration method \u2013 Newton Raphson method- Solution of linear system of equations – Gauss elimination method \u2013 Pivoting – Gauss Jordan method \u2013 Iterative methods of Gauss Jacobi and Gauss Seidel – Eigenvalues of a matrix by Power method and Jacobi\u2019s method for symmetric matrices.<\/p>\n Unit IV:<\/strong> Interpolation, Numerical Differentiation And Numerical Integration<\/p>\n Lagrange\u2019s and Newton\u2019s divided difference interpolations \u2013 Newton\u2019s forward and backward difference interpolation \u2013 Approximation of derivates using interpolation polynomials \u2013 Numerical single and double integrations using Trapezoidal and Simpson\u2019s 1\/3 rules.<\/p>\n <\/p>\n Unit V:<\/strong> Numerical Solution Of Ordinary Differential Equations<\/p>\n Single step methods: Taylor\u2019s series method – Euler\u2019s method – Modified Euler\u2019s method – Fourth order Runge-Kutta method for solving first order differential equations – Multi step methods: Milne\u2019s and Adams – Bash forth predictor corrector methods for solving first order differential equations.<\/p>\n Text Books:<\/strong><\/p>\n References:<\/strong><\/p>\n Related Posts Of Semester – II:<\/strong><\/p>\n Anna University, Subject code – MA3251, deals with the B.E civil Engineering Semester – II Statistics And Numerical Methods syllabus regulation 2021 relating to affiliated institutions. From here, Students can get assistance in preparing notes to excel in academic performance. We include every topic of the Statistics And Numerical Methods Syllabus, to understand the subject […]<\/p>\n","protected":false},"author":8,"featured_media":163853,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[115872],"tags":[],"yoast_head":"\n\n
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