Sample Survey

Paper Code: 
STT 501
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

This paper is aimed at teaching the students various sampling techniques.

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

 

Paper Code

Paper Title

STT-501

Sample Survey

CO 51: Students will get an idea of conducting the sample surveys by using an appropriate Sampling

Techniques.

 

CO 52: Ability to decide the proper sample size from a target

Population keeping in mind the objectives to be fulfilled and nature of population.

 

CO 53: Learn To 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

 

8.00
Unit I: 
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.

 

9.00
Unit II: 
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.

 

10.00
Unit III: 
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.

 

8.00
Unit IV: 
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).

 

10.00
Unit V: 
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.

 

Essential Readings: 
  • 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.
  • 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.

 

 

Academic Year: 
2021-2022
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