Instructions and Objective: For this project, you will use MS Excel to conduct a statistical
analysis and use MS Powerpoint to create a research poster presentation to showcase your
final results. The research poster will allow you to present your statistical analysis and
findings in a visual way to a large audience. Research posters are a popular avenue to
visually present research results, not to mention that no matter what you do (or will do) for
a living, having some experience in developing visual aids never hurts.
You’ll use MS Excel to perform a statistical analysis on data you FIND, and MS
Powerpoint to create a 4ft by 3ft poster. I’ll provide the poster template to work from.
Follow the procedure below to select one of two project options to get started finding data
to analyze. Feel free to consult with me at any time during you’re the project development
process. Under no circumstances should you use data that a previous STAT 210 student
has employed for similar projects assigned in previous semesters. Doing so will result in a
zero grade, and students have already attempted it.
Choose ONE of the two following options for your project:
OPTION 1: Perform a bivariate analysis:
For a bivatiate analysis, you must find data for TWO variables that are independent
but related. Both variables must be quantitative. To begin, think about a topic or
subject that interests you (something from your major, for instance) and decide
whether you want to collect data or use existing data from the internet. If you collect
data, you cannot use human subjects (as in a survey, for instance). If you look for data
on the internet to use, make sure it’s UNANALYZED (e.g., raw data) data (try the
Federal Reserve System, Bureau of Labor Statistics, Bureau of Economic Analysis,
FedStats, or any of the websites given on Blackboard). You may also use data sets
archived at Universities or private companies provided they are readily available. You
will have to show Dave the data you plan to use for your project during Week #6.
Make sure that you collect/choose variables for which there is readily available data, at
least 30 or so data points for each variable. Example of data for you to collect might
be: sugar/sodium content of breakfast cereal, basketball free throws, or coin tossing.
Some examples of existing data might be to examine: the relationship between
investment and the interest rate, unemployment and inflation, the relationship
between the crime rate and expenditures on police protection for a certain city, the
relationship between the balance of trade and the exchange rate, the relation between
the interest rate and the deficit… the list is endless. Think of your own example rather
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