---
title: "Week 6 R lecture"
subtitle: "Statistics and statistical programming  \nNorthwestern University  \nMTS 525"
author: "Aaron Shaw"
date: "May 3, 2019"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

## T-tests
You learned the theory/concepts behind t-tests last week, so here's a brief run-down on how to use built-in functions in R to conduct them and interpret the results.

## ANOVAs

Analogous situation with t-tests. Here's a brief introduction to how they work in R.

## Visualizing confidence intervals

We spent a lot of time on confidence intervals in the past few weeks. Since they can be so useful, surely we should learn some approaches to incorporating them into data visualizations.

## Date/time arithmetic

Last, but not least, another wrinkle in time...or at least how to manage date-time objects in R.