When we create a confidence interval, it's important to be able to interpret the meaning of the confidence level we used and the interval that was obtained.

After we build a confidence interval for a mean, it's important to be able to interpret what the interval tells us about the population and what it doesn't tell us.

This lesson explains how to calculate and interpret the confidence interval for a population mean. It also looks at the effect on the confidence interval of changing the confidence level or sample size. It then explains how to find the...

This resource provides interactive visualizations of probability concepts. Covers basic probability, compound probability, probability distributions, frequentist inference, Bayesian inference, and regression analysis. The authors are...

A university exam on the topics of error, accuracy, and precision. Includes essay, short answer, and multiple-choice. Links to lecture and discussion notes. Answers to short essay and multiple-choice are provided.

The author of the article admits having had a difficult time in the past when getting students to understand that samples need to contain a substantial portion of the population. Here, an activity is detailed to bring this important fact...