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Sample Survey
This paper is aimed at teaching the students various sampling techniques.
Students will be able to:
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Course |
Learning outcomes (at course level |
Learning and teaching strategies |
Assessment Strategies
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Paper Code |
Paper Title |
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STT-501 |
Sample Survey |
CO 59: Get an idea of conducting the sample surveys by using an appropriate Sampling Techniques.
CO 60: Decide the proper sample size from a target Population keeping in mind the objectives to be fulfilled and nature of population.
CO 61: Get knowledge of various statistical sampling schemes such as simple, stratified and systematic Sampling.
CO 62: Learn how to compare various sampling techniques.
CO 63: Obtain an Estimator of the Population Parameter by using the selected sample. |
Approach in teaching: Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students: Assignments Seminar Presentation Subject based Activities |
Classroom Quiz Assignments Class Test Individual Presentation |
Unit I
Concept of population and sample, need for sampling, census and sample surveys. Advantages of sample survey over complete enumeration. Principal steps in a sample survey. Sampling and Non-sampling errors. Principles of Sample survey, Probability and Non probability Sampling
Unit II
Concept of Sampling Design Method of drawing a random sample from a finite population, accuracy and precision of an estimator. Estimation of sample size for a specified precision
Simple Random Sampling- Simple random Sampling with and without replacement. Probability of selecting any specified unit in the sample, variance of the estimate of population mean and population total. Estimation of the standard error of the estimate
Unit III
Stratified random sampling: Its advantages. Estimation of the population mean and its variance, optimum and proportional allocation and their comparisons with Simple Random Sampling without Replacement.
Unit IV
Systematic Sampling and its advantages and disadvantages, variance of the estimated mean, comparison of systematic sampling with Simple and Stratified Random Sampling for population with linear trend. Concept of cluster sampling, mean and variance (without proof).
Unit V
Basics of ratio and regression estimators. Introduction to ratio and regression method of estimation, first approximation to the population mean and total of SRS for large size and variance of these estimates.
- Goon, A.M. Gupta, M.K. and Dasgupta, B. (2008): Fundamentals of Statistics, Vol II, The World Press Pvt Ltd , Calcutta, VIIth Edition,
- Gupta ,S.C. & .Kapoor, V.K. (2000): Fundamentals of Applied Statistics, Sultan Chand & Sons, New Delhi, tenth edition.
SUGGESTED READINGS:
- Cochran, William G. (1984): Sampling Techniques, Wiley Eastern Limited, Third Edition.
- Singh, Daroga and Chaudhary, F.S.(2002) : Theory and Analysis of Sample Survey Designs, New Age International Publisher.
- Murthy, M.N.(1967): Sampling Theory and Methods.
- Sukhatme, et al.(1984): Sampling Theory of Surveys with Applications, Piyush Publications, IInd Edition.
- Mukhopadhyay, P. (2007): Survey Sampling, Narosa Publishing House.
e-RESOURCES:
JOURNALS:
- Sankhya The Indian Journal of Statistics, Indian Statistical Institute
- Aligarh Journal of Statistics, Department of Statistics and Operations Research, Aligarh Muslim University
- Afrika Statistika, Saint-Louis Senega University
- International Journal of Statistics and Reliability Engineering, Indian Association for Reliability and Statistic
- Journal of the Indian Society for Probability and Statistics, Indian Society for Probability and Statistics
- Journal of the Indian Statistical Association, Indian Statistical Association
- Statistica, Department of Statistical Sciences Paolo Fortunato, University of Bologna
- Statistics and Applications, Society of Statistics, Computer and Applications
- Stochastic Modeling and Applications, MUK Publications and Distributions
