---
title: "ADA1: HW 09 ANOVA and Assessing Assumptions"
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.
* (1 p) Specify the ANOVA hypotheses in words and notation,
* (1 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,
* (1 p) state the conclusion in the context of the problem,
* (2 p) assess the normality assumption of the residuals using appropriate methods (QQ-plot and Anderson-Darling test), and
* (1 p) assess the assumption of equal variance between your groups using an appropriate test (also mention standard deviations of each group).
* (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.