Gauhati University Question Papers for Statistics 5th Semester
Gauhati University Question Papers for Statistics 5th Semester
Question Paper from 2010 available
More than 50 question papers every semester
Year
Paper 101
Paper 102
Extra
2011
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2012
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2013
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2014
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2015
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2016
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This is the downloading page for Statistics 5th
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
– V
Credit – 6 (Paper 501)
Paper
M501 : Sampling Distribution and Statistical Inference – I
Unit 1:
Sampling
Distribution: -
χ 2 , x , s2 , t, r, and, F –
Their derivation, properties, inter-
relationship and applications (null case only)
Order Statistics :- Definition and uses
of order Statistics, derivation of the distribution of rth
ordered statistic, joint distribution of
the rth & sth order statistics,
distribution of sample range and sample median.
Unit 2:
Point
estimation: - Properties of good estimators- unbiasedness,
consistency, efficiency, sufficiency. Mean square error, Minimum Variance
Unbiased Estimator, Crammer Rao lower bound (with proof) and related results.
Methods
of estimation: - Methods of maximum likelihood, Method of Moments, Method of
Minimum chi-square—Statement of properties of these
methods (without proof ).
Paper M502 : Sample Survey
Place of Sampling. Census and survey work. Concept of sampling frame and sampling
unit. Sampling Techniques: - Simple Random Sampling. Stratified
Random Sampling, Cluster
Sampling,
Systematic Sampling, Double
sampling, sampling with probability
proportional to size.
Estimation
procedures: - Estimates of population total and mean, bias in estimates,
standard error of estimates, Ratio, regression and product estimates.
Optimum
design: - Cost and variance functions. Use of pilot survey.
Optimum size and structure of sampling units.
Proportional and optimum allocation in stratified
random sampling. Non sampling errors and their control.
Paper M503: Applied Statistics–I
Unit 1:
Index number:
Different
types of index numbers e.g. index numbers of wholesale prices, cost of living
index numbers (CLIN ) and index of
production (agricultural and industrial) numbers.
Comparison of CLIN over time.
Unit 2: Applied Economics:
Income
distributions. Pareto’s curve, Measures of inequality-Gini’s coefficient and
Lorenz curve, and concentration curve. Elements
of Econometrics: Definition and scope of
Econometrics. Relation between variables, Linear
model: two or more variables. Least square
assumptions Estimation of
regression parameters, Test of
significance and confidence interval of
parameters. Problem of single equation, model,
multicollinearity, autocorrelation & Heteroscedasticity (brief idea
of why it occur – violation of Least square assumptions). Theory of consumption
and Demand, Demand function, elasticity of demand,
statistical analysis of demand with the help of time series and family budget
data. Engel curve.
Unit 3: Time Series:
Economic
time series, Multiplicative and additive models, trend
determination by curve fitting and moving average methods, determination
of seasonal indices, idea of correlogram and periodogram; Concepts of
forecasting and its applications, Methods of forecasting MA, exponential smoothing.
Paper M504 : Operations Research – II
Unit 1:
Replacement and Maintenance:
Replacement
of items with deterministic deterioration (items that deteriorate
with time), group replacement policy.
Unit 2: Inventory Models:
Concept
of planned inventory policies, ABC Analysis, Deterministic
model policy when inventory levels are reviewed continuously and demand occurs
uniformly with and without shortage cost, Economic order quantity for
production planning when inventory models are reviewed
periodically( with and without shortage).
(Multi item models, uncertain and stochastic demand
models are not required)
Unit 3: Network + C.P.M. + PERT:
35 Marks
Network: Idea of Network node,
activities, dummy activity, construction of
network diagram.
C.P.M:
Network scheduling using C.P.M: determination of different types of floats and
slacks, determination of Critical path.
PERT:
Basic definition of PERT and
its usefulness; brief idea of optimistic
time, pessimistic time and most likely time (PERT calculations are not
required)
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 |
Download Download |
This is the downloading page for Statistics 5th
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
SEMESTER
– V
Credit – 6 (Paper 501)
Paper
M501 : Sampling Distribution and Statistical Inference – I
Unit 1:
Sampling
Distribution: -
χ 2 , x , s2 , t, r, and, F – Their derivation, properties, inter-
relationship and applications (null case only)
Order Statistics :- Definition and uses of order Statistics, derivation of the distribution of rth ordered statistic, joint distribution of the rth & sth order statistics, distribution of sample range and sample median.
Unit 2:
Point
estimation: - Properties of good estimators- unbiasedness,
consistency, efficiency, sufficiency. Mean square error, Minimum Variance
Unbiased Estimator, Crammer Rao lower bound (with proof) and related results.
Methods
of estimation: - Methods of maximum likelihood, Method of Moments, Method of
Minimum chi-square—Statement of properties of these
methods (without proof ).
Paper M502 : Sample Survey
Place of Sampling. Census and survey work. Concept of sampling frame and sampling unit. Sampling Techniques: - Simple Random Sampling. Stratified Random Sampling, Cluster
Sampling,
Systematic Sampling, Double
sampling, sampling with probability
proportional to size.
Estimation
procedures: - Estimates of population total and mean, bias in estimates,
standard error of estimates, Ratio, regression and product estimates.
Optimum
design: - Cost and variance functions. Use of pilot survey.
Optimum size and structure of sampling units.
Proportional and optimum allocation in stratified
random sampling. Non sampling errors and their control.
Paper M503: Applied Statistics–I
Unit 1:
Index number:
Different
types of index numbers e.g. index numbers of wholesale prices, cost of living
index numbers (CLIN ) and index of
production (agricultural and industrial) numbers.
Comparison of CLIN over time.
Unit 2: Applied Economics:
Income
distributions. Pareto’s curve, Measures of inequality-Gini’s coefficient and
Lorenz curve, and concentration curve. Elements
of Econometrics: Definition and scope of
Econometrics. Relation between variables, Linear
model: two or more variables. Least square
assumptions Estimation of
regression parameters, Test of
significance and confidence interval of
parameters. Problem of single equation, model,
multicollinearity, autocorrelation & Heteroscedasticity (brief idea
of why it occur – violation of Least square assumptions). Theory of consumption
and Demand, Demand function, elasticity of demand,
statistical analysis of demand with the help of time series and family budget data. Engel curve.
Unit 3: Time Series:
Economic
time series, Multiplicative and additive models, trend
determination by curve fitting and moving average methods, determination
of seasonal indices, idea of correlogram and periodogram; Concepts of
forecasting and its applications, Methods of forecasting MA, exponential smoothing.
Paper M504 : Operations Research – II
Unit 1:
Replacement and Maintenance:
Replacement
of items with deterministic deterioration (items that deteriorate
with time), group replacement policy.
Unit 2: Inventory Models:
Concept
of planned inventory policies, ABC Analysis, Deterministic
model policy when inventory levels are reviewed continuously and demand occurs
uniformly with and without shortage cost, Economic order quantity for
production planning when inventory models are reviewed
periodically( with and without shortage).
(Multi item models, uncertain and stochastic demand
models are not required)
Unit 3: Network + C.P.M. + PERT: 35 Marks Network: Idea of Network node, activities, dummy activity, construction of network diagram.
C.P.M:
Network scheduling using C.P.M: determination of different types of floats and
slacks, determination of Critical path.
PERT:
Basic definition of PERT and
its usefulness; brief idea of optimistic
time, pessimistic time and most likely time (PERT calculations are not
required)
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