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## The Top 10 Best Cool Math Games: Probability and Statistics

You’re never too old to play a game if you’re learning stats. Take a break from your textbook and have fun with these games. I scoured the internet for the most fun games that actually teach you something about probability, statistics, or both. I cam across these gems, which don’t just teach you something — they’re fun to play!

Cool Math Games #1. Shodor’s Rabbits and Wolves: Build a simple ecosystem with grass, rabbits, and wolves. Teaches about probabilities, chaos and populations. A fun, old-school game that’s simple to play.

#2. Advanced Monty Hall. Choose a door like you’re in “Let’s Make a Deal.” Learn about conditional probability, events, experimental probability, and trials.

#3. Party Time. This is one of the more unique games as it helps you understand the difference between biased and unbiased questions in surveys. It’s aimed at younger folks, but if you’re not quite sure of how bias in statistics plays a part in the end result, this game’s for you!

#4: Farm Games. Play games on a farm to learn all about line graphs!

Cool Math Games #5: PBS Kids’ Bugs in the Room. Teaches about bar graphs in a fun way. Drag the bugs into the right bins and create a bar graph.

Games #6: Virtual Coin Toss, replaced the PBS game earlier used. Looks at the probability for coin tosses in this fun game.

Cool Math Games #7: BBC’s Random ball picking game. How likely is it that you’ll get a red ball? Or a blue ball? Explore probabilities with this BBC game.

Cool Math Games #8: BBC’s Line up the Buildings. Line up the buildings to learn the difference between the mean, mode and median.

Cool Math Games #9: The Vile Vendor. What is the probability you’ll get served a vile drink by the Vile Vendor?

Cool Math Games #10: Alternating Jubes. Investigates probability, sequences and randomness. Does the machine spit out random candy? Play the game to find out.

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*Statistical concepts explained visually* - Includes many concepts such as sample size, hypothesis tests, or logistic regression, explained by Stephanie Glen, founder of StatisticsHowTo.

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