Gauhati University Question Papers for Statistics 4th 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.

DOWNLOAD ALL PAPERS IN ONE FILE-

DOWNLOAD(CLICK HERE)

Year	Paper 101	Paper 102	Extra
2011	Download	Download	Download
2012	Download	Download	Download
2013	Download	Download	Download
2014	Download	Download	Download
2015	Download	Download	Download
2016	Download	Download	Download
2017	Download	Download	Download Download

This is the downloading page for Statistics 4th semester but if

you want to explore the world of statistics than go to the main

page for Statistics major. Find the all the help form the world of

education so please comment.

Link is below down here

Main page- link

More than 50 question papers every semester

SEMESTER – IV

Paper M401:Mathematical Methods –

Unit 1:

Definition of vectors, Algebra of vectors, Linear dependence and linear independence of vectors, A vector as a linear combination of vectors, Eigen values and Eigen vectors and their related theorems, Cayley-Hamilton theorem,

Vectors: Linear combination of vectors - their independence and dependence, hyperplanes, basis, dimension, properties of convex sets.

Unit 2:

Optimization:

Linear Programming problem (LPP):- Problem formulation and solution using graphical and simplex method –No derivation.

Transportation Problem:

Definition and its solution using north west corner rule and Vogel’s method.

Paper M402 : Descriptive Statistics 2 & Probability – 2

Credit - 6 (Internal 20%) Unit 1: 30 Marks Theory of sampling and large sample tests, standard error of means, proportion, moments (raw and central moments), standard error of simple function of moments.

Unit 2:

Characteristic for and it properties (without prof)

Central Limit Theorem: De – Moivre’s and Levy Lindeberg (with proof), Chebyshev’s lemma, WLLN with proof and applications, Bernoulli’s law of large Numbers. Liaponenef’s

Unit 3 :

Definitions and examples of stochastic processes (Its applications in various fields – other than mathematical applications), classification of general stochastic process into discrete / continuous time, discrete / continuous state space, elementary problems, definition and examples of Markov chain, transition probability matrix- its construction and applications, Chappman Kolmogorov equation, classification of states.