I find that attacking the concepts that I am studying by looking at them in an entirely different light adds context and helps me understand and remember them better.
In other words, you can run hypothesis testing questions until you are exhausted or you can take a break and see them applied in a fun manner to really drive the point home.
Over the course of my career as a Six Sigma professional no set of articles delighted me more than Kevin Rudy’s articles over at the MiniTab blog blending two of my major interests; football and statistical analysis.
Take a look at these innovative ways to apply data analysis to Fantasy Football. There are obvious translations to betting and gambling, but also to investing, advertising, software development, HR policy, manufacturing, cooking, and everything else.
How could you make use of these examples to make these exam concepts ‘real’? Could these topics lead to inspiration for other new insights in your current job? Let us know in the comments below.
Fantasy Football Draft Guidelines (according to Six Sigma principles)
Finding value in your Fantasy Football Draft: A great article about understanding variation and performing data analysis to find value in your draft.
Should you draft a running back first? Planning on drafting a running back first? You know the game has migrated to a pass-first league. And each year the rule book makes it easier on those quarterbacks. Time to break out data analysis techniques and find out.
Who are the top 100 players? Should you use the established rankings, make your own, average a combination?
Should you take a Tight End before you Draft your Wide Receiver? On one hand WRs give you tons of points. On the other hand the TE skill set and environment to deliver the fantasy value required is very rare. Let’s see if a regression analysis helps to solve this problem.
How do Elite Fantasy football Players Perform a year later? Part 1: (and part 2) Curious if last year’s leader will repeat his performance? Compare fantasy scores in a top 3 year and the following year. Is the difference significant? Try a paired t test. You could also use regression analysis (and part 2) to see if past performance is indicative of future behavior.
How do different scoring systems affect fantasy football rankings? Another paired t test to help you set a drafting and playing strategy based on the kind of scoring system in your league.
How Accurate are Fantasy Football rankings Part 1? Want to use the default ranking system to select your players – or, gasp! – let you autodraft? Think about descriptive statistics and think again.
Can you project the rest of a season based on the first part? If so, how many games in is enough of a sample size?
Season Post Mortem
Any good Six Sigma practitioner evaluates how their experiment worked and gleans what she can to make the next attempt better. It’s a cornerstone of the Plan-Do-Check-Act cycle and essential portion of both the implementation and pilot plans and on the check list of things to do before turning over a project in the control phase of DMAIC.
What a great set of articles! Even if you don’t indulge in fantasy football you can appreciate the interesting applications of statistics to real world processes. What are some non-traditional applications of data analysis you’ve seen?