STA632 : Sampling Techniques

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Course Info

Course Category

Probability & Statistics

Course Level

Undergraduate

Credit Hours

3

Pre-requisites

N/A

Instructor

Dr. Muhammad Noor-Ul-Amin
PhD Statistics
National College of Business & Economics, Lahore

Course Contents

Basic concepts, advantages of sampling methods, requirements of a good sample, bias, sampling and non-sampling errors. Steps and problems involved in planning and conduct of census and sample surveys,  Selection and estimation procedures, Description and properties of simple random sampling,  Sampling for proportions and percentages, Estimation of variances, standard errors and confidence limits, Sample size determination under different conditions,  Description and properties of stratified random sampling,  Formation of strata,  Different methods of allocation of sample size, Systematic sampling,  Ratio and regression estimates in simple and stratified random sampling. All sampling techniques using R programming