Ratio and regression estimates in simple and stratified Random sampling.
Course Material
- Basic concepts
- Advantages of sampling methods
- Requirements of a good sample
- 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.
- Ratio and regression estimates in simple and stratified Random sampling.
- Practical work on software
- Chapters 16
- Department Statistics
- Teacher
Muhammad Wasim Amir
