---
title: "ADA1: HW 13 Complete poster in HW document"
author: "Your Name Here"
date: "`r format(Sys.time(), '%B %d, %Y')`"
output:
html_document:
toc: true
---
# Rubric
Finish getting your poster sections organized at the bottom of your HW document.
Continue to revise, tighten up presentation, improve plots, etc.
Remember, you'll be presenting your poster.
It's not intended to be read, it's their to be your visual aid as you discuss your work.
Complete the content for each of these sections:
1. __(1 p)__ Introduction
* (HW02 Lit Review) 2-4 bullets describing the study, previous research.
2. __(1 p)__ Research Questions
* (HW02 Research Questions) 2 bullets, one for each research question, stated as the alternative hypothesis.
3. __(1 p)__ Methods
* (HW01 Personal Codebook) Data source(s).
* (HW01 Personal Codebook) Variables used.
* (Various) Statistical methods used to answer the research questions.
4. __(1 p)__ Discussion (while this would follow your results, let's put it here so you
have a full column to show the results of the analysis of both research
questions)
* Put the results you found for each research question in the context you provided in your introduction.
5. __(1 p)__ Further directions or Future work or Next steps or something else that indicates there more to do and you've thought about it.
* What do these results lead you to want to investigate?
6. __(1 p)__ References
* By citing sources in your introduction, this section will automatically have your bibliography.
7. __(2 p)__ Results for your first research question.
* Plot and describe the data, as well as the statistical model.
This can often be done in a single plot.
Examples:
* ANOVA: A mean with CI bars is the statistical model overlayed on the data points.
* Contingency table: A mosaic plot with colored boxes relative to contribution to Pearson $\chi^2$ shows the data with evidence towards the alternative hypothesis.
* Simple linear regression: A regression line is the statistical model overlayed on the data points.
* Logistic regression: The logistic curve is the statistical model overlayed on the top/bottom histograms of the data.
* State the conclusion of the hypothesis test and interpret it in the context of the research question.
8. __(2 p)__ Results for your second research question.
* Plot and describe the data, as well as the statistical model.
This can often be done in a single plot.
* State the conclusion of the hypothesis test and interpret it in the context of the research question.
Turn in your master HW file with these sections appended to the bottom.