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“Let’s Go for a Spin!”: Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin Mathematics Council 41st Annual Conference Green Lake, WI May 6-8, 2009 The Milwaukee Mathematics Partnership (MMP) is supported by the National Science Foundation under Grant No. 0314898.

“Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

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Page 1: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

“Let’s Go for a Spin!”:Understanding Some Important Probability

Concepts through Fair Game Analysis

Bill MandellaUniversity of Wisconsin-Milwaukee

Wisconsin Mathematics Council41st Annual Conference

Green Lake, WIMay 6-8, 2009

The Milwaukee Mathematics Partnership (MMP) is supported by the National Science Foundation under Grant No. 0314898.

Page 2: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

• In this presentation, we will explore several probability topics such as:

– “Fair Game” Analysis– Simulations

• Using physical objects and graphing calculators

– Tree Diagrams– Experimental Probability vs. Theoretical

Probability– Equally Likely Outcomes– “Law of Large Numbers”– Expected Value

Page 3: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

“Two Spinners Game”• To play the games, you would like your students to

create spinners using these guidelines:

– The spinner must be divided into 2, 3, or 4 regions.

– The spinner can be divided into equal regions, but it doesn’t have to be.

– Each region will be numbered using the numbers 0 through 9, with no number used more than once per spinner.

– The relative size of each number on the spinner must be inversely related to the size of its region.

– The sum of the regions must be 10.

• Students will be paired together and asked to create a “fair game” which uses the spinners they made.

Page 4: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

A few examplesof possible students’

spinners

Page 5: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

Joan and Mary• Two students, Joan and Mary, are paired up to play.

However, Joan and Mary each have their own idea about what a fair game would be using their two spinners.

Joan’s spinner Mary’s spinner

Page 6: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

Joan’s idea for a fair game:

• Each person spins their own spinner.

• Whoever’s spin results in the larger number wins 1 point.

• The player with the most points after 20 spins wins the game.

Page 7: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

Mary’s idea for a fair game:

• Each person spins their own spinner.

• Each player gets as many points as the result of his/her spin.

• The player with the most points after 20 spins wins the game.

Page 8: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

Analyzing the fairness of Joan and Mary’s games

• Compare EXPERIMENTAL probabilities– Generate data from playing each game

– Simulations• Spinners• Graphing Calculators

ProbSim—“Spin Spinners” “randInt” —generate random numbers

• Compare THEORETICAL probabilities – Build TREE diagrams of outcomes for each game

Page 9: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

Simulations• Graphing calculators (TI-84 plus)

– Select “MATH”

– Scroll to right and select “PRB”

– Scroll down and select “5:randInt ( ”– randInt (1, 12, 2)

min. number

max. number

this many chosen at a time

In other words, the calculator is set to choose 2 numbers at a time from the numbers 1 to 12 (inclusive).

Page 10: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

2

8

1

4

5

1

4

5

Joan’s Game

Joan’s spinner

Mary’s spinner

Wins a point

Joan

Joan

Joan

Joan

Mary

Mary

Page 11: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

2

8

1

4

5

Mary’s GameJoan’s spinner:

ProbabilitiesMary’s spinner:

Probabilities

What would the “average” spin be for:

• Joan’s spinner?

•Mary’s spinner?

Page 12: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

“Challenge round”• Is it possible to change the numbers on Joan

and Mary’s spinners so that Mary’s game is fair?

• Can you create two new spinners such that both Joan and Mary’s games would be fair?

Page 13: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

Conclusion• Could you use this in your own classroom?

• What changes might you make?

Page 14: “Let’s Go for a Spin!” : Understanding Some Important Probability Concepts through Fair Game Analysis Bill Mandella University of Wisconsin-Milwaukee Wisconsin

“10,000 spins”(EXCEL simulation)

Number of spins Joan

won

(Joan’s game)

Number of spins Mary

won

(Joan’s game)

JOAN’s total points

MARY’s total points

4953 5047 34676 33504