EXPLANATION FOR TEACHERS
The cars and goats problem became world famous in 1990. The author Marilyn Vos Savant, was, according to the Guiness Book of Records at the time, the person with the highest IQ in the world.
Rewriting in her own words a problem posed to her by a correspondent, Craig Whitaker, Vos Savant asked the following:
“Suppose you're on a game show, and you're given the choice of three doors: behind one door is a car; behind the others, goats. You pick a door, say No. 1, and the host, who knows what's behind the doors, opens another door, say No. 3, which has a goat. He then says to you, “Do you want to pick door No. 2?”
Is it to your advantage to switch your choice?”.
Vos Savant proceeded to give a number of simple arguments for the good answer: “switch”, it doubles your chance of winning the car.
A very detailed explanation of the problem and its many variations is contained in The Encyclopedia of Mathematics
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MATERIALS
PREPARATION Each of the cardboard boxes should ideally be clearly numbered (1,2 and 3), have a secure lid/door and be brightly decorated.
The boxes should be designed/positioned to ensure players cannot see items as they are placed into or stored in a box.
The car should be randomly assigned to a box for each game. For example, throw a die (1or2=box1, 3or4=box2 5or6=box3) or some other way of determining which box the car is placed in for each game).
The car:box number for each game can be determined and documented in advance.
The games should be played 30 or more times to ensure that the results are minimally reliable.
The result of each of the games should be recorded for later analysis/discussion.
THE CLASSROOM ACTIVITY
Each student takes a turn as a guest/player in an imaginary TV game show.
The guest/player must try to win the car. To win the car:
THE PROBLEM
Write down how many times you predict a player would win if they played 30 games and draw a circle around your prediction.
Write down your justifications/proof, so that you can share and explain it to other students.
Design an experiment that would test your prediction.
Perform your experiment and record the data (for example, in a table of results in your journal)
Do the experimental results (data) support your prediction?
REMEMBER