Sampling Principles Learning Objectives

After completing this module, students will be able to:

  • Define sampling and explain why we sample.
  • Differentiate between the following pairs of terms, and explain their relevance to sampling: populations and samples, population parameters and sample statistics, central tendency and variability, accuracy and precision, sampling error and non-sampling error.
  • Identify sources of error and explain how to reduce error.
  • Explain how confidence intervals provide information to make inferences about populations, and demonstrate how changing confidence level and precision affects the width of confidence intervals.
  • Given a small data set, be able to construct confidence intervals and interpret their meaning in the context of inference.