```{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.