The objectives of this project are to have you demonstrate, in presentation format, the analysis of data using techniques learned in this course.
I believe that you will really enjoy this project. It is not meant to torture you. Rather, it gives you a chance to show what you have learned in a creative presentation format. Being able to make effective business presentations is an important skill to have.
This project is worth 100 points in the project grade category.
This project is part of your "Finals" and must be completed, even late. Late submittals have a 10% penalty per day, up to 5 days.
This is an "open-ended" project, and an individual project. You should find a dataset that contains at least two samples of data. The sample could fall into: two-sample tests, where you are wondering if one sample is the same as the other; or two or more samples that might be related, as in regression analysis; or samples involving time and quantity, as in forecasting.
In addition to applying one of the two-sample techniques, you should also apply some one-sample techniques to at least one set of your data. Recall that these techniques include some general descriptive statistics, creating frequency tables, frequency diagrams, and testing the distribution to see if it is uniform, normal, or some specific distribution (Chi-Squared Tests.) If you are importing your data from a CSV file or web page, you can describe how you got your data into Excel (our chapter on importing data.)
Updated 11/2018 - Also, you have recently learned some visualization techniques using Tableau, and some ways to use PivotTables, PivotCharts, and Slices in Excel. Using this more advanced visualization software products and techniques can make your presentation even more interesting, so consider doing so.
As you can see, this project really can include many of the analytical techniques that you learned in this course.
In this project, your presentation should typically have four sections: An introduction, An Approach, Results, and Conclusion. Typically, the "Results" are the numeric results of your analysis, and the "Conclusions" are your interpretation of the results.
Where should you find your data? The answer depends on what interests you? It might be some geographic data, political data, sports data, job data, hobby data, family data, etc. For example, if you were interested in employment data, you could visit the Bureau of Labor Statistics website. Sometimes the best place to start is by simply asking a question, such as "I wonder if I should eventually live in San Francisco or Austin?" Well, what kind of data will help you make this decision? Or, "Will I earn a higher income in the Northeast or Southwest?" Or, "How much practice will it take to get good at playing the piano?" Or "Should I buy a Mercedes or an Audi?" These are only examples, but you should see that it doesn't take much to ask yourself a question. After having an initial question, you can start probing for "data." As you probe, your mind might wander a little and continue asking new questions. As you do this, keep notes. These notes will help you structure your presentation.
Eventually, you should end up with some data that should help you answer your questions. But now, instead of some flimsy analysis and decision, you can apply some solid statistical techniques that will help you use data to answer your questions.
You will give your project electronically (online) using a voice-over-PowerPoint presentation format. In other words, you will be recording your presentation within PowerPoint and then letting PowerPoint automatically deliver the presentation. If you prefer, another form of video/audio presentation can be made, as long as it is automatically delivered. The format for this presentation must follow the "Pecha Kucha" technique, which typically has 20 slides, 20-seconds of voice per slide. This technique was developed to help people give short, succinct presentations. In general, I do not mind if you use a few more or a few less slides than 20, or that one slide might be 25 seconds and another 15 seconds, but the total presentation length of 6:40 minutes is important (20 slides x 20 seconds/slide) and you will lose points for longer presentations. The key to having a successful voice-over-PowerPoint presentation is that when you click on "play slideshow" that the presentation must play continuously on its own without requiring any person's intervention, such as having to manually click on the slide with our mouse or keyboard.
You can search Google for tips on making Voice-over-PowerPoint presentations. I am providing you one of my own videos explaining this Pecha-Kucha and Voice-over-PowerPoint techniques.
All Microsoft PowerPoint products can do Voice-over-PowerPoint. Of course, your computer must have a microphone attached to it. Almost all laptop computers are equipped with microphones. Remember that STSG and ITS can help with any hardware related problems.
Before Finals Week, you will upload your presentation into Moodle. During "Finals Week" you will need to watch a minimum of four of these presentations, which will be posted in Moodle, and then make four posts about these student's presentations. If you upload your presentation early, you will probably get more students watching and commenting on your presentation. As you monitor student posts to your presentation, you can reply to comments if you wish, and some students might even ask you questions.
Note: If by any chance your Voice-over-PowerPoint file is too large to upload to Moodle, you will find an "Assignment" in ICON/Canvas for uploading your file.
Participation in watching and commenting on other student presentations is worth 20 points.
At the conclusion of this project, you will end up with a digital copy of the project that you can easily show to your company and others.
Past Semester's Student Presentation Examples
These are some good examples of past students' presentations.