Overview

Overview

A critical step in making statistical inferences from a sample is defining how confident you are in those results. In this lesson, we will introduce sampling distributions, bootstrapping, and confidence intervals to provide this measure of confidence. You will learn how to create a sampling distribution from bootstrapping, as well as how to use that bootstrapped sampling distribution to determine the confidence interval. In particular, we will focus on two key methods for calculating confidence intervals: the standard error method and the percentile method. 

Learning Outcomes

By the end of this lesson, you should be able to:

• define a confidence interval for a dataset 

• draw conclusions from a confidence interval

• estimate a confidence interval using bootstrapping

Lesson Roadmap

Questions?

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