Math Madness: Using Basketball Statistics in Math Questions for Students

••• Maddie Meyer/Getty Images Sport/GettyImages

If you've been following Sciencing's March Madness coverage, you know that statistics and numbers play a huge role in the NCAA Tournament.

The best part? You don't have to be a sports fanatic to work on some sports-centric math problems.

We've created a math worksheet that incorporates data from last year's results. The table below shows the scoring breakdown of each Round of 64 game in 2018. Use it to answer questions 1-5. When you're done, check out the answer sheet.

Click here if you want a closer look at our team's full dataset.

Good luck!

••• Sciencing

Statistics Questions:

Check out our articles on mean, median, mode and interquartile range if you need to brush up before getting started.

Question 1: What is the mean difference of scores in East, West, Midwest and South Region for 2018 March Madness Round of 64?

Question 2: What is median difference of scores in East, West, Midwest and South Region for 2018 March Madness Round of 64?

Question 3: What is IQR (Interquartile Range) of difference of scores in East, West, Midwest and South Region for 2018 March Madness Round of 64?

Question 4: Which matchups were outliers in terms of the difference of scores?

Question 5: Which region was more "competitive" in the 2018 March Madness Round of 64? Which metric would you use to answer this question: Mean or Median? Why?

Competitiveness: The smaller the difference between winning and losing score, the more "competitive" the game is. For example: If the final scores of two games were 80-70 and 65-60 then according to our definition the latter game was more “competitive.”

Probability Questions:

Check out our article on binomial probability if you need a refresher.

Free Throw: In basketball, free throws or foul shots are unopposed attempts to score points by shooting from behind the free throw line.

Assuming that each free throw is an independent event then calculating success in free throw shooting can be modeled by Binomial Probability Distribution. Here's the data for free throws made by players in the 2018 National Championship game and their probability of hitting the free throw for the 2017-18 season (note the numbers have been rounded to closest one-place decimal number).

••• Sciencing

Question 1: Calculate the probability for each player getting the given number of successful free throws in the number of attempts they took.

Here's the sequence data for the players' free throw shooting in the same game. 1 means that the free throw was successful and 0 means that it was unsuccessful.

••• Sciencing

Question 2: Calculate the probability for each player hitting the exact sequence above. Is the probability different from what was calculated before? Why?

Bonus Question

Using the above probability numbers, answer these questions:

  1. Which players had an unlucky/bad day with their free throw shooting?
  2. Which players had a lucky/good day with their free throw shooting?

Feeling the March Madness spirit? Check out our tips and tricks for filling out a bracket, and read why it's so tough to predict upsets and pick a perfect bracket.

Related Articles

Math Madness Answer Sheet
Sports Fan vs. Data Scientist: How to Fill Out an NCAA...
Olympic Math Activities for Elementary
How to Report Z-Score Results
How to Calculate Statistical Difference
My March Madness Bracket is Busted. But so is Pretty...
How to Calculate Binomial Probability
March Madness Predictions: Statistics to Help You Fill...
How to Calculate a P-Value
How to Calculate the Mean in a Probability Distribution
How to Calculate Win-Loss-Tie Percentages
How to Calculate Statistical Significance
This Is Why It's So Tough to Get a Perfect March Madness...
March Madness 2019: What I Questioned, Loved and Learned
How to Calculate Conditional Probabilities
How to Make a Relative Frequency Table
How to Know if Something Is Significant Using SPSS