---
title: "S4R: Classes 19 and 20, ANOVA"
author: "Your Name Here"
date: "`r format(Sys.time(), '%B %d, %Y')`"
output:
html_document:
toc: true
---
---
# Rubric
1. Using a numerical response variable and a categorical variable with three to five levels (or a categorical variable you can reduce to three to five levels),
specify an ANOVA hypothesis associated with your research questions.
* (2 p) Specify the ANOVA hypotheses in words and notation,
* (2 p) plot the data in a way that is consistent with hypothesis test (comparing means, assess equal variance assumption),
* (1 p) use `aov()` to calculate the hypothesis test statistic and p-value,
* (1 p) state the significance level, test statistic, and p-value,
* (2 p) state the conclusion in the context of the problem,
* (2 p) If you rejected the ANOVA null hypothesis, perform follow-up pairwise comparisons using Tukey's HSD to indicate which groups have statistically different means and summarize the results.
Turn in your master HW file with these sections appended to the bottom.
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Class 19: Parts 1-4 from above with points for each part: 3, 3, 2, and 2.
Class 20: All parts from above, with a focus on the last two.
The sections from Erik's `S4R_Project_All_Erik_NESARC.Rmd` file to focus on are
* Class 19 ANOVA
* ANOVA Hypothesis test: Total cigarettes smoked by Ethnicity
* Post Hoc pairwise comparison tests