By the end of this module, you should be able to:
- Describe the purpose and interpretation of confidence intervals for means,
- Identify the quantities that are random and not random in the construction of confidence interval for means,
- Describe the t-distribution and explain when it should be used and how it differs from a Normal distribution,
- Apply the sampling distribution of the sample mean to calculate confidence intervals,
- State the meaning of robust when used to describe coverage of a confidence interval, recall the role of sample size in the robustness of a confidence interval, and recognize situations when confidence intervals for means and for proportions are not robust.
Topics covered in this module
Learning resources:
- Data Used in this Module
- Confidence Intervals for Means (video)
- Robustness of Confidence Intervals (video)
- Optional: Guide to carrying out the analysis in the modules Confidence Intervals Parts 1 and 2 using R (pdf)