Review of Important Statistical Concepts

Introduction and Links to Materials

Before moving into inferential methods, let’s review some of the important concepts of statistical inference including

  • Parameters vs. Statistics
  • Sampling Distributions and Standard Errors
  • Confidence Intervals
  • Hypothesis Tests including p-values, errors, and power
  • Bias and Variability of Estimators
  • Practical/Clinical Significance vs. Statistical Significance.
  • Association vs. Causation

PHC 6053 Video (8:14)

Practical vs. Statistical Significance (9:10)

Watch the following videos on the topic of practical or clinical significance as opposed to statistical significance.


Watch the following video:

And review the 6052 materials regarding causation: