Gauhati University Question Papers for Statistics 6th Semester
Gauhati University Question Papers for Statistics 6th Semester
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
Official Statistics: Study
of population Census in India (Highlights of last two censuses); India as a whole & the state of Assam. Functions of NSSO and CSO, Functions of National Statistical Commission (NSC) Simple Registration system.
Question Paper from 2010 available
More than 50 question papers every semester
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Paper 101
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Paper 102
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2011
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2012
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This is the downloading page for Statistics 6th 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 – VI
Paper M601: Statistical Inference 2
Credit - 6
Unit 1:
Interval Estimation: - Concept of confidence interval and confidence co-efficient, confidence intervals for parameters of univariate normal & two independent normal.
Unit 2:
Testing of Hypothesis: - Statistical Hypothesis—Simple, Composite, Statistical tests, critical region, errors of Type I and Type II , Size & Power of a test, Definition of MP, and UMP tests, Neyman Pearson Lemma and its application in testing hypothesis regarding univariate normal distribution, Power curves of UMP tests with simple illustrations; Likelihood ratio test, test for parameters of univariate and two variate normal distribution and equality of parameters of two independent univariate normal distributions.
Unit 3:
Non-Parametric Tests: - Need for non-parametric tests, non-parametric and distribution free, Contingency and Association, chi-square test, Kolmogrov- Smirnov test (one and two samples), Run test (one and two samples), Sign test for location of univariate and bivariate population, median test, Spearman rank correlation, Kendall’s Tau, Wilcoxon-Mann-Whitney test, Wilcoxon signed rank test
(derivation of tests not required; their application and use to be stressed upon).
Paper M602: Design of Experiments (Internal 20%) Credit - 6
Analysis of variance: - Introduction, linear models, AOV with one way, two way classified data (one observation per cell), Applications of AOV in detail, violation of assumptions in AOV, transformation. [Only fixed effect model] study of relationship between two variables.
Analysis of Covariance:- Idea of one way and two way classified data, Application of
AOCOV (without derivation and without practical).
Principles of experimentation: -Randomization, Replication and Local Control. Techniques of error control, choice of size, shape and structure of experimental units, grouping of experimental units, analysis of completely randomized design, randomized block, Latin square designs, and their affiances, Factorial experiments (2s(s=2(1)5). Confounding in Factorial experiments, Total and Partial; balanced confounding. Confounding of main effects: Split plot arrangements. Techniques for analysis of
experiments with one missing yields ( RBD & LSD).
Paper M603: Applied Statistics – 2
Official Statistics: Study
of population Census in India (Highlights of last two censuses); India as a whole & the state of Assam. Functions of NSSO and CSO, Functions of National Statistical Commission (NSC) Simple Registration system.
DEMOGRAPHY
Source of demographic data, vital rates, crude birth rates, general fertility rates, age specific fertility rates, total fertility rate, gross and net reproduction rates, crude death rate, age specific mortality rates, infant mortality rate, complete life table- concepts, different columns & their relationships; Standardised rates, idea of abridged life table without
Source of demographic data, vital rates, crude birth rates, general fertility rates, age specific fertility rates, total fertility rate, gross and net reproduction rates, crude death rate, age specific mortality rates, infant mortality rate, complete life table- concepts, different columns & their relationships; Standardised rates, idea of abridged life table without
construction, Population Projection by Logistic curve and its fitting, Basic idea of Stable and Stationary population. Introduction and Basic Ides of Biostatistics & Epideniology.
Statistical Quality Control
Theoretical basis of statistical quality control in industry. Tolerance limit. Different kinds of
control charts
x , R charts, p and c charts, and group control charts. Acceptance sampling.
Single, O.C . and A.S.N. functions. Sampling by attributes and variables. Use of Dodge- Romig and other tables.
Paper M604 : Computer Programming and Multivariate Analysis
Multivariate Analysis:
Bivariate Normal Distribution and its properties; Marginal and Conditional distributions, independence; Multivariate Normal distribution, marginal and conditional distribution, independence, characteristic function, Hotelling T2 – idea and application (without derivation); Multinomial distribution, mean, Variance, Covariance and properties. COMPUTER PROGRAMMING 35 Marks
Bivariate Normal Distribution and its properties; Marginal and Conditional distributions, independence; Multivariate Normal distribution, marginal and conditional distribution, independence, characteristic function, Hotelling T2 – idea and application (without derivation); Multinomial distribution, mean, Variance, Covariance and properties. COMPUTER PROGRAMMING 35 Marks
Basic idea of different parts of a computer, brief idea of software, hardware; high level languages.
Programming in Fortran 77: Fortran constants, Fortran variables (real and integer), type declaration statements, arithmetic operations, hierarchy of operations, real, integer and mixed mode arithmetic, use of simple built-in library functions, simple input-output statements without format statement, use of DO loops, Nested Do loops and While-Do statement. Writing small programs for determination of commonly used statistical measures and for carrying out simple statistical analysis.
Flowchart symbols and their uses, construction of Algorithms.
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