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Gauhati University Question Papers for Statistics 2nd Semester

Gauhati University Question Papers for  Statistics 2nd Semester

Question Paper from 2010 available    



       More than 50 question papers every semester

Please check your syllabus before downloading the question paper.

If syllabus does not match then don't download the question paper.

Year        
Paper 101
 Paper 102
Extra
2011
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       More than 50 question papers every semester






SEMESTER – II


Paper M201 : Numerical and Computational Techniques –I  


Unit 1:                                                                                                                       

∆ & E operators, Fundamental theorem, zero differences, Interpolation formulae; Newton’s forward,   backward   with  remainder   terms,  Divided  differences:   Properties,   Newton’s Divided difference formula, Lagrange’s formulae

Unit 2:                                                                                                                          

Difference:  Idea,  Operator’s,  Gauss’s  forward,  backward,  Bessel,  Everret  and Stirling formula
Inverse Interpolation, Numerical Differentiation. 
Numerical Integration: Trapezoidal Rule, Simpson’s 1/3 rd and 3/8 th rule, Weddle’s rule, Euler-Maclaurin’s formula [Proof of all the formulae will be required].


Unit 3:                                                                                                                         

 properties of linear difference equation, linear difference equation with constant co- efficient,  roots  of  polynomial  equations,  and  solution  of  simple  problems  by  Newton- Raphson method, Bisection method, and Graphical method, Regula Falsi Method, Method of Iteration.


Paper M202 Mathematical Method –I                                       


(Recap: Limit, continuity and differentiability of functions of one variable, sequences and series  of  real  numbers;  Convergence,  Cauchy  criterion  and  tests  for  convergence.  No questions to be set from recoys)


Roll’s theorm Mean value theorems, Taylor’s expansion, maxima and minima, Point wise and uniform  convergence,  necessary  and sufficient  conditions  for uniform  convergence, Functions of several variables- limit, continuity and differentiability, Taylor’s expansion for two   variables;   Partial   derivatives-basic   idea   and   simple   examples;   Applications   of Lagrange’s multipliers, Riemann Internal.

Infinite and Improper integrals; Gamma and Beta integrals and their properties, Jacobian

transformation.


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