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STA 222 Sampling Techniques I

ND2 levelSciences27 topics

STA 222 covers 27 topics. StudyPath paces them into daily study sessions that finish before your exam date, with practice questions and worked answers for each one.

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Course outline

The topics this course covers, in teaching order.

  1. Statistical universe and sample
  2. Census versus sample survey
  3. Population parameters and sample statistics
  4. Complete enumeration
  5. Advantages and disadvantages of sampling
  6. Sampling frame
  7. Probability and non-probability sampling
  8. Types of non-probability sampling
  9. Types of probability sampling
  10. Random number tables in sampling
  11. Planning a sample survey
  12. Data collection methods
  13. Questionnaire design and record schedules
  14. Execution of sample surveys
  15. Analysis of survey results
  16. Interval estimation of parameters
  17. Tests of significance for parameters
  18. Sampling and non-sampling errors
  19. Sources of sampling errors
  20. Response and non-response errors
  21. Minimising sampling and non-sampling errors
  22. Simple random sampling with replacement
  23. Simple random sampling without replacement
  24. Estimation of mean, total, variance and proportion
  25. Confidence intervals under simple random sampling
  26. Regression estimation
  27. Ratio estimation

A sample from this course

One topic, as StudyPath teaches it.

Statistical universe and sample

The statistical universe is the complete set of entities about which inference is to be made, while a sample is a subset selected from that universe for analysis. Mastering these concepts is essential for the exam because they underpin all sampling techniques, determine the validity of estimates, and influence the interpretation of results.

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