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

## Title Slide

* Assignment Name

* Names/e-mail addresses for all group members

## Introduction and Research Questions

* What motivated you to study this system?

* Define the factors and the response.

* What questions are you trying to answer (big picture)?

## Description of the Data

* Input factors, units, and ranges

* Response units and range

* Number of observations and replicates; if there were duplicates, say how many were averaged.

  
## Methods

* What approach did you take?
  * **Example:** *We build a statistical model that predicts $X$ using $Y$ and $Z$.*

* Avoid jargon and technical terms. Simply explain the overall approach.

## Results

* Results are factual based on the data and/or model.

* Write the results in words, including the effect sizes.
  * **Example:** *Applying fertilizer in January increased yields 1.1-fold over treating in April*

* Only describe the practically and statistically significant results. This avoids you needing to say ``significantly'' for every result.
  * **Exception:** Mention any effect that you expected to be significant but wasn't.
  * **Example:** *No change in yield between broadcast and plowed fertilizer applications.*

## Conclusions

* Conclusions are subjective based on your interpretation of the results and/or judgment.
  * **Example:** *Treating in January increased yield by 10\%, but this benefit needs to be compared to the costs of accessing the fields early.*

* If asked, include next steps or follow-up experiments/analyses.
  * **Example:** *We estimate another 8 runs are needed to determine if time of application and method of application interact.*
  
## Supplementary slides

* The all data, code, and plots used in the analysis.
