STAT 140 - Introduction to Sample Survey
Course Description
Topics to be discussed in this course include: designs of surveys; sample
designs; estimation of population characteristics; braces and non-sampling
errors.
Course Learning Outcomes
After completion of the course, the student should be able to:
- Familiarize with statistical terminologies and notations in sample surveys;
- Understand basic concepts related to sample surveys;
- Differentiate and explain the different methods of sampling;
- Apply the procedures of estimation of population characteristics.
Course Outline
UNIT 1. INTRODUCTION
- Census versus Sample survey
- Types of Sampling
- Some Basic Concepts
- The Planning and Conduct of Field Surveys
- Types of Error in a Survey
- Desirable Properties of Estimators
- The Role of the Normal Distribution in Sampling
- Effects of Bias
UNIT 2. SIMPLE RANDOM SAMPLING
- Definition and Notation
- Estimation in SRSWOR
- Estimation of Sampling Error in SRSWOR
- Determination of Sample Size
- Estimates of Means and Totals over Subpopulations
- Estimation in SRSWR
- Estimation of Proportion in SRS
- Formula for the Sample Size in Sampling for Proportions
- Estimation of Population Ratio
- Inverse Sampling
UNIT 3. SYSTEMATIC SAMPLING
- Estimation of Population Mean
- Estimation of Population Total
- Estimation of the Variance in Systematic Sampling
- Sampling with Unequal Probabilities
- With Replacement PPS Sampling
- Without Replacement PPS Sampling
UNIT 4. STRATIFIED SAMPLING
- Estimation in Stratified Sampling
- Types of Sample Allocation
- Optimum Allocation
- Determination of Sample Size
- Relative Precision of Stratified Random and SRS
- Estimation of a Population Proportion
- Allocation Requiring More than 100% Sampling
- Special Topics in Stratified Random Sampling
- The Stratum of Nonrespondents
UNIT 5. CLUSTER SAMPLING
- Estimation of Population Mean
- Estimation of Population Total
- Alternative Expressions for Variances
- Estimation of Population Proportion