Hi. I need a 20 slide PowerPoint.
Instructions/requirements:
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.
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