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Sample Survey
This paper is aimed at teaching the students various sampling techniques.
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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 56: Identify the type of data and also able to taking decision of appropriate sampling scheme.
CO 57: Ability to decide the proper sample size
CO 58: Abtain the mean and variance for the sample and use as population estimates.
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Approach in teaching:
Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students:
Assignments Seminar Presentation Subject based Activities
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Classroom Quiz Assignments Class Test Individual Presentation |
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.
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.
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.
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).
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.
1. Goon, A.M. Gupta, M.K. and Dasgupta, B. (2008): Fundamentals of Statistics, Vol II,
The World Press Pvt Ltd , Calcutta, VIIth Edition,
2. Gupta ,S.C. & .Kapoor,V.K. (2000): Fundamentals of Applied Statistics,Sultan Chand &
Sons, New Delhi, tenth edition.
1. Cochran, William G. (1984): Sampling Techniques, Wiley Eastern Limited, Third
Edition.
2. Singh, Daroga and Chaudhary, F.S.(2002) : Theory and Analysis of Sample Survey
Designs, New Age International Publisher.
3. Murthy, M.N.(1967): Sampling Theory and Methods.
4. Sukhatme, et al.(1984): Sampling Theory of Surveys with Applications, Piyush Publications,
IInd Edition.
5. Mukhopadhyay, P. (2007): Survey Sampling, Narosa Publishing House.
