# Probability and Statistics IV: Confidence Intervals and Hypothesis Tests

This course covers two important methodologies in statistics – *confidence intervals* and *hypothesis testing*. Confidence intervals allow us to make probabilistic statements such as: “We are 95% sure that Candidate Smith’s popularity is 52% +/- 3%.” Hypothesis testing allows us to pose hypotheses and test their validity in a statistically rigorous way. For instance, “Does a new drug result in a higher cure rate than the old drug”?

### At a glance

- Institution: GTx
- Subject: Data Analysis & Statistics
- Level: Intermediate
- Prerequisites:
Learners will be expected to come in knowing some set theory and basic calculus, as well as the material from the previous courses in this series (

**A Gentle Introduction to Probability**,**Random Variables**, and**A Gentle Introduction to Statistics**). The prerequisite material is all available for you to access; and in any event, we will make the current course as self-contained as possible. In addition, this course will involve a bit of computer programming, so it would be nice to have at least a little experience in something like Excel and/or the R freeware statistical package.

- Language: English