MA3251 – STATISTICS AND NUMERICAL METHODS
🔥 APRIL / MAY 2026 EXAMINATION 🔥
| Subject Code | MA3251 |
|---|---|
| Subject Name | Statistics and Numerical Methods |
| Regulation | Anna University (Regulation 2021) |
| Exam Session | April / May 2026 |
| Document Format | High-Quality Searchable PDF |
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📄 MA3251 – STATISTICS AND NUMERICAL METHODS QUESTION PAPER PREVIEW
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🎥 Video Solution & Question Paper Discussion
Key Topics & Exam Preparation Guide
The Regulation 2021 syllabus for MA3251 Statistics and Numerical Methods covers statistical inference and numerical computation techniques applied across engineering problems. Focus on the following core units:
- Testing of Hypothesis: Large sample tests (Z-test for mean and difference of means), small sample tests (t-test for single mean, difference of means, paired t-test), F-test for variance ratio, and Chi-square test for goodness of fit & independence of attributes.
- Design of Experiments: One-way and two-way analysis of variance (ANOVA), Completely Randomized Design (CRD), Randomized Block Design (RBD), and Latin Square Design (LSD).
- Solution of Equations & Eigenvalue Problems: Fixed point iteration method, Newton-Raphson method, Gauss Elimination, Gauss-Jordan, Gauss-Seidel iteration, and power method for eigenvalues.
- Interpolation, Numerical Differentiation & Integration: Newton’s forward and backward interpolation, Lagrange’s interpolation, Trapezoidal rule, Simpson's 1/3 and 3/8 rules.
- Numerical Solutions of ODEs: Single-step methods (Taylor’s series, Euler’s method, 4th order Runge-Kutta method) and multi-step methods (Milne’s and Adams-Bashforth predictor-corrector methods).
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