Poster Project Description - Statistics 507 - Fall 2017
Collect a research-type data set and analyze the data using
methods that are covered in our Experimental Design course. You
may use any of the experimental designs we discuss in class except completely
randomized designs from Chapter 2. Your project is due in two
parts. The first three sections of the project are due (via email or hardcopy) by
October 2, while the final posters will be displayed during dead week. Posters
must have an adequate font size (at least 18 for text, and larger for headings
and the title). Posters with font sizes that are too small will receive a lower
grade. Your poster should address the following issues:
- The context of the experiment
- General information about the topic.
- The general hypothesis of interest.
- Specify H0 and H1 for the tests of major
- The goals of the experiment, i.e., what it would
contribute to knowledge in the field. Also,
relate it to other experiments already done in
- Define the experimental design.
- State the design used, and describe the
experiment in enough detail to identify the
- Defend the choice of the blocking variable(s) and
the levels used in your experiment. If you don't
use a blocking variable, defend why not.
- Define the treatment factor(s), whether they are
fixed or random, and the levels. Defend why they
are used in your experiment.
- Describe the dependent variable, and specify any
potential problems one might encounter in
measuring this dependent variable.
- When applicable, use power calculations to
calculate the sample size needed to detect
differences that you believe are of practical
significance. Show your work for the
- Describe the population from which the subjects will be
selected. Describe the sampling procedure and the random
allocation of subjects to treatments.
These first three sections (listed above) are due on lecture Monday,
- Describe the analysis of variance.
- Write out the Linear Model using notation like what is used in
the text (not just computer code).
- Lay out the appropriate ANOVA Table through the
expected mean squares.
- Discuss any uses of post hoc comparisons that may
be appropriate to your experiment.
- Analyze the data. Conduct
exploratory analyses and generate some graphs or
plots to describe the data. Present the main
results from the analyses .
- Discuss the implications of your results for this field,
and compare your results to other published results.
(Most of this should follow from your results and the
background information in part 1)
Special thanks to Dr. Bill Mickelson, whose Stat 401 Project
Description I have borrowed and adapted to make this Project
Note: the rubric I use to grade the posters uses the following categories:
Was the motivation for the research clear? Was the process of data collection
clear? Was the choice of experimental design clear? Was the choice of
experimental design appropriate? Was the data analysis explained clearly? Was
the data analysis appropriate (Including graphs)? Were assumptions checked?
Quality of overall presentation and effectiveness of communication?