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11. Making Fair Decisions
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Chapter 6
11. 

Making Fair Decisions

This lesson delves into the concept of making fair decisions using probability and various methods. It discusses scenarios like choosing a team in a sports game, deciding who gets a prize in a company, or even settling disputes among friends. Different methods are explored, such as drawing numbers out of a hat or using dice and coins. The key takeaway is that for a decision to be considered fair, each possible outcome should have an equal chance of occurring. For instance, if you're a team captain deciding who bats first, you could use a fair die roll to make the choice. Similarly, if a company wants to randomly award a prize to its employees, various fair methods are suggested to ensure that everyone has an equal chance of winning.
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7 Exercises - Grade E - A
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Making Fair Decisions
Slide of 10
Making decisions can be a difficult thing to do amidst a sea of information and variables. The goal of this lesson is to understand the use of probabilities in helping to sort through the given information and make fair decisions. Different scenarios such as sports and chess, a flip of a coin, a game of cards, and a prize giveaway will be analyzed in order to calculate fair decisions.

Catch-Up and Review

Here are a few recommended readings before getting started with this lesson.

Challenge

Making a Fair Decision

A local on beach volleyball tournament was hosted in South Beach. Heichi, Izabella, and Kevin pulled off a huge upset and won the tournament. The reward is a bicycle that flies as wind gusts propel the rider anywhere they so please to go. Everyone wants it, but, unfortunately, there is only one. Therefore, each player suggests a method to decide who gets to keep the highly coveted bicycle.

The suggestions of each player

Considering the three suggestions, which method is fair?

Explore

Flipping a Coin to Make a Fair Decision

Dominika and Emily's mom made a delicious red velvet cake the other day, but, unfortunately, only one piece is left in the fridge. Both girls are craving to eat it. Brazenly, they agreed that only one of them would get the whole piece. Therefore, they decided to design a coin flip game to determine who will be the lucky person to eat the last piece!
Flipping a Coin
They came up with three game types and want to decide which one is fair.
  • Game A: They flip a coin. If they get heads, then Dominika wins. If they get tails, then Emily wins.
  • Game B: They flip a coin two times. If two heads appear, then Dominika wins. If two tails appear, then Emily wins. If one heads and one tails appear, then they play again.
  • Game C: They flip a coin three times. If one heads and two tails appear, then Dominika wins. If three heads or three tails appear, then Emily wins. In other cases, they play again.

Try to determine which game leads to a fair decision. In order to do this, complete the following steps.

  1. List all possible outcomes for each game.
  2. Calculate the probability of Dominika winning and the probability of Emily winning. Are they the same or different?
Discussion

Fair Decision

A fair decision is a decision for which all events are equally likely to happen, meaning that the probabilities of the events are the same. Fair decisions can be made by using several methods, such as selecting names from a hat, flipping a coin, rolling a die, drawing a card from a standard deck of cards, using a random number generator, and so on.

Example

Suppose that the captains of two baseball teams and have to decide which team bats first. To do so, the captains will roll one die each, simultaneously.

Two Dice

One example of a fair method and one example of an unfair method will be presented for this situation.

  • Fair Method: If the sum of the numbers is less than then Team bats first. If the sum of the numbers is greater than then Team bats first. If it is they play again.
  • Unfair Method: If the product of the numbers is even, then Team bats first. If the product of the numbers is odd, then Team bats first.

Why

The fairness of the mentioned methods will be explained one at a time.

Fair Method

This method suggests rolling two dice and calculating the sum of the numbers obtained. Since rolling each die has possible outcomes, the number of all possible combinations is

Sum of Two Dice

Recall that if the sum of the numbers is less than then Team bats first. For a clearer understanding, highlight all the outcomes which satisfy this event.

Highlighting the favorable outcomes
After counting, there is a total of favorable outcomes. Using this information, the probability of Team A batting first can be calculated.
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Substitute values and simplify
SubstituteII

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ReduceFrac

CalcQuot

Calculate quotient

RoundDec

Round to decimal place(s)

The probability of Team batting first can be found in a similar way. First, highlight the outcomes satisfying the event of the sum of the numbers being greater than
Highlighting the favorable outcomes

Again, there are favorable outcomes for the event. Therefore, the probability that Team bats first is also about Since two events, Team batting first and Team batting first, have equal probabilities, this method is fair.

Unfair Method

This method suggests rolling two dice and multiplying the numbers obtained. Since rolling each die has possible outcomes, there are possible products.

Products of Numbers When Two Dice Are Rolled

According to this method, if the product of the numbers is even, then Team bats first. Hence, start by identifying the favorable outcomes which are the even numbers in the table.

Even Products When Two Dice Are Rolled
There are favorable outcomes for Team out of possible outcomes. With this information, the probability of Team batting first can be calculated.
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Substitute values and simplify
SubstituteII

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ReduceFrac

CalcQuot

Calculate quotient

Now, the probability of Team batting first can be found in a similar way. To do so, highlight all the odd numbers in the table.
Odd Products When Two Dice Are Rolled
As can be seen, the number of favorable outcomes for Team is out of possible outcomes. Using this information, the probability of Team batting first can be calculated.
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Substitute values and simplify
SubstituteII

,

ReduceFrac

CalcQuot

Calculate quotient

Since the probability of Team batting first is three times greater than the probability of Team batting first, this method is not fair.
In this lesson, events and their probabilities will be analyzed to determine whether presented methods are fair or not.
Example

Exploring the Fairness of Drawing a Card

In the last daring coin flip, Emily won and devoured the red velvet cake. The girls enjoyed the game so much that they decided to continue playing these games of probability just for fun. This time they will use a standard deck of cards.

A Deck of Standard Cards

Dominika will first remove all of the clubs and diamonds from the deck. Emily will then draw two cards in succession without replacing them. If she draws two cards with the same suit, then Emily wins. If she draws two face cards, then Dominika wins. For any other outcome, they draw again.

Hearts and Spades

Try to determine if the game leads to a fair decision. To do so, complete the following steps.

a Calculate the probability of Emily winning and round it to two decimal places.
b Calculate the probability of Dominika winning and round it to three decimal places.
c Is the card game they are playing fair?

Hint
a How many cards in the game have the same suit?
b How many face cards are there in the game?
c Compare the probabilities calculated in Part A and Part B.

Solution
a When all the clubs and diamonds are removed from a deck of cards, there are cards remaining — hearts and spades. Next, two cards are drawn in succession without being replaced. If both of those cards are hearts or spades, Emily wins.
Probability of Emily winning

Note that the event of drawing two hearts and the event of drawing two spades are mutually exclusive, therefore, the probability on the right-hand side equals the sum of the individual probabilities.

Probability of Emily winning
Since there are cards in total, the probability of getting a heart on the first draw is If the first card is drawn is a heart, then only hearts remain in the deck, and because the cards are not being replaced there are remaining cards in total. Hence, the probability of drawing a second heart is
By the Multiplication Rule of Probability for dependent events, the probability of drawing two hearts equals the product of the two probabilities written above.
SubstituteValues

Substitute values

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Evaluate
ReduceFrac

MultFrac

Multiply fractions

ReduceFrac

Since there are also spades out of cards, the probability of drawing two spades is the same as the probability of drawing two hearts, which is Finally, the probability of Emily winning can be computed by adding the probabilities of drawing two hearts and drawing two spades.
SubstituteValues

Substitute values

AddFrac

Add fractions

CalcQuot

Calculate quotient

b Recall that two cards are drawn without replacement out of cards in which are hearts and are spades. Dominika wins if both cards are face cards. Recall that face cards are the jack, queen, and king cards. Therefore, there are face cards in the game — face cards of hearts and face cards of spades.
Face Cards of Hearts and Spades
Since there are face cards out cards, the probability of getting a face card in the first draw is If the first card is drawn is a face card, then only face cards remain in the deck, and because the cards are not being replaced there are remaining cards in total. Hence, the probability of drawing a second face card is
As in Part A, by multiplying these values, the probability of Dominika winning can be calculated.
SubstituteValues

Substitute values

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Evaluate right-hand side
ReduceFrac

ReduceFrac

MultFrac

Multiply fractions

UseCalc

Use a calculator

RoundDec

Round to decimal place(s)

c To decide if the game is fair or not, the probabilities found in Part A and Part B should be compared. If they are equal, then the game is considered fair.
As can be seen, the probability of Emily winning is greater than the probability of Dominika winning.
Oh snaps, the game is not fair! Also, note that if two face cards of the same suit are drawn, both Emily and Dominika will win, which is ambiguous. This also says that the game is not well set.
Discussion

Using Simulations in Decision-Making

There are opportunities to make fair decisions in different contextual situations by the use of simulations.

Concept

Simulation

A simulation is a model that imitates a real-life process or situation. In particular, a simulation can be used as a probability model to make predictions about real-life events. Consequently, the experimental probability can be estimated by simulating the events.
In general, simulations are used when actual trials of some experiment are impossible or unreasonable to conduct.

Using a Random Number Generator

For example, Mark and Tadeo want to eat dinner at different restaurants and they are not able to come together on a decision. It so happens that they both really like basketball. They then came up with an idea to make a free throw to determine the person who will choose the restaurant.

Mark's and Tadeo's restaurant choices
External credits: @macrovector
Mark only recently began practicing free throws, so the probability that Mark makes a free throw is — this is the success rate. Unfortunately, there is no basketball court nearby, so they decide to simulate the free throws using a random generator.
If the random number generator produces — meaning that Mark made a free throw — then they will go to the restaurant that Mark wants. Otherwise, they will go to the restaurant that Tadeo wants.
Random Number Generator
Example

Awarding a Prize to a Random Winner

A company with employees wants to award a prize to employee(s) at random — it has been a good year. Propose a fair way to choose the random winners for the given values of and

Employees and presents
a
b
c
d

Answer
a There are a few possible methods.

Method I: Assign each person a number, write the numbers on slips of paper, and then draw one of them out of a hat.
Method II: Assign each person a number from to and then roll a fair octahedron die.
Method III: Flipp three unbiased coins and assign each employee one of possible outcomes.

b There are a few possible methods.

Method I: Assign each person a number, write the numbers on pieces of paper, and then draw two pieces out of a hat.
Method II: Eight spades ranging from to are taken from a deck. The numbers are assigned to employees and then two cards are drawn without being replaced.

c Sample Method: The employees are assigned numbers Then the tens digit is picked by flipping a coin (heads - tails - ) and the second digit is determined by rolling a die.
d Sample Method: Random generator is used to get a number from to assigned to employees.

Hint
a Assign a number to each employee. Think of how that number can be randomly chosen.
b Think of whether the method of drawing cards from a deck or smaller group of cards can be used.
c The method leads to a fair decision if each possible outcome is equally likely to happen.
d Can a random generator be used?

Solution
a In the first case, person randomly chosen out of employees gets the prize. To pick that employee, various methods can be used.

Method I: Drawing a Number Out of a Hat

One possible method is to assign a number to each employee. Then the numbers should be written on pieces of paper and put in a hat. After shaking the hat, one piece of paper is randomly picked and the employee with the matching number wins the prize. This method has eight possible outcomes.
Note that each number has an equal chance of being chosen. That means each employee has the same probability of winning the prize, which is Therefore, this method is fair.

Method II: Rolling a Fair Octahedron Die

Another possible method is to use an octahedron die — an eight-sided die. Each employee is assigned a number from to and then a fair octahedron die is rolled. All possible outcomes of rolling a fair octahedron die can be listed as follows.
Similar to the previous method, since the die is fair, each outcome is equally likely to happen. Therefore, this method also results in a fair decision.

Method III: Flipping Three Unbiased Coins

The third method is to use three unbiased coins. By flipping three unbiased coins, possible outcomes can be obtained. Note that the order in which heads or tails appear matters, meaning that and are two different outcomes.
If each of these outcomes is assigned to one employee, then a fair decision can be made, since each outcome is equally likely. The employee with the matching outcome wins the prize.
b In this case, people will be chosen out of employees to be awarded a prize. To be sure this is the case, many different methods can be proposed. Here, two will be presented.

Method I: Drawing Two Numbers Out of a Hat

Numbers assigned to each employee are written on different pieces of paper and put into a hat. Then, two pieces of paper are randomly picked, determining the winners of the prize. Note that the order of chosen employees is not important. Hence, the total number of possible outcomes can be calculated using the Combination Formula.
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Substitute values and evaluate
SubstituteII

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SubTerm

Subtract term

Write as a product

SplitIntoFactors

Split into factors

CrossCommonFac

Cross out common factors

CancelCommonFac

Cancel out common factors

Multiply

Multiply

DivByOne

Therefore, there are possible ways to choose employees out of Assuming that the slips of paper are chosen randomly, each group of employees has equal chances of being selected.
Since each possible outcome is equally likely, this method results in a fair decision.

Method II: Drawing Two Cards Without Replacement

Take eight spades ranging from to from a deck of cards and assign numbers from to to the employees. After shuffling those cards, draw two cards in succession without replacing them.
Applet that allows to draw two spades
For the first card drawn, each card has a probability of being chosen equally with a probability of Since the card is not being replaced, when drawing the second card, there are only cards left. Therefore, for each card the probability of being drawn on the second draw equals
By multiplying these values, the probability of each of the two cards being drawn can be calculated.
Although cards have different probabilities of appearing on the first and second draw, each group of cards has an equal chance of being selected. Therefore, each possible outcome is equally likely. This means that this method leads to a fair decision.
c One possible method to select person out of is to assign to the employees the following numbers.
The list of employees and assigned to them numbers
To determine who will win the prize, first flip a coin and then roll a six-sided die. If the coin lands on heads, the tens digit will be If it lands on tails, the tens digit will be The second digit will be determined by rolling a die. Here is the list of all possible outcomes of this event.
Note that there is a total of possible outcomes. The probability of each outcome is Since each possible outcome is equally likely, this method results in a fair decision.
d Finally, employees will be selected among employees. Note that for employees it might be difficult to develop a method such as drawing a number out of a hat, rolling dice, flipping coins, or drawing cards. Therefore, in this case, a random number generator can be used.

Sample Method

Start by assigning a number from to to each employee and then use a technology-based random number generator to select one number. As an example, a graphing calculator can be used. First, push the button. Then, scroll to the right to the PRB menu and choose the fifth option called randInt(.

The function randInt outputs integers in the range from to inclusive. Since integers from to are required in this case, evaluate randInt in the calculator.

The random number generator provides each number from to an equal chance of being chosen, so each employee has an equal probability of winning the prize. Therefore, this method is fair.

Example

Solving Real World Problems Fairly

A chess club of members decided gift a hand-carved wooden chess set to one of its members. The club wants each member to have a chance of winning this gift based on how many games they have won this week.

Members Number of Games Won
Ali
Maya
Diego
Dylan
Describe a fair method to decide who wins the chess set. Use probabilities to explain why the proposed method is fair for the members listed.

Answer

Sample Method: Assign integers from to to each member according to the number of games they won. Then roll a die to determine the winner.
Why it is Fair: The outcomes of rolling a die are equally likely. Additionally, the probability of winning the gift for each member is proportional to the number of games they have won.

Hint

Find a method of assigning outcomes so that the chance of winning is proportional to the number of games won.

Solution
A method of choosing the winner of the gift will be fair if members who won more games will have a better chance of winning the chess set. First, calculate the total number of games won by all the members.
Since there are games in total, integers from to can be assigned to the members according to the number of games they won.
Members Games Won Numbers Assigned
Ali
Maya
Diego
Dylan None
Next, a standard six-sided die can be rolled to decide who wins the set. Recall that there are six possible outcomes of rolling a six-sided die and all outcomes are equally likely.
Therefore, the probability of winning the set for each member equals the quotient of the number of favorable outcomes to the number of possible outcomes. For example, for Ali to win, there are two favorable outcomes, and Hence, the probability that Ali wins the set can be calculated as follows.
Using the same procedure, the probability of winning the set can be calculated for each member.
Members Games Won Numbers Assigned Probability of Winning the Chess Set
Ali
Maya
Diego
Dylan

Notice that the probability of winning the gift for each member is proportional to the number of games they have won this week. Therefore, rolling a die can be considered as a fair method to decide who gets the gift.

Explore

Random Number Generator Between and

Let be a random number between and produced by a random number generator. In the applet, a random number is represented by the point on the number line.

Random Number Generator
Investigate the distribution of on the interval by calculating the following probabilities.
Think of whether it is possible to use this random number generator to make fair decisions.
Closure

Studying the Fairness of Different Methods

At the beginning of the lesson it has been said that the team of Heichi, Izabella, and Kevin won the local on beach volleyball tournament and there is a bicycle in the prize package. All players want it, but there is only one. Therefore, each player proposed a method to decide who gets to keep the new bicycle.

Proposed Methods
Which player's method is fair?

Hint

Begin by identifying all possible outcomes of the experiments in each method. Then, calculate the probabilities to determine the fair method(s).

Solution

Each method will be examined one at a time.

Heichi's Method

Heichi suggests rolling two dice and multiplying the numbers obtained. Since rolling each die has possible outcomes, there are possible products.

Products of Numbers When Two Dice Are Rolled

According to Heichi's method, if the product of the numbers is odd, then Izabella keeps the bicycle. Hence, the outcomes which are the odd numbers should be identified in the table.

Odd Products When Two Dice Are Rolled
There are such outcomes, which is the number of favorable outcomes for Izabella out of possible outcomes. With this information, the probability of Izabella getting the bicycle can be calculated.
SubstituteII

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ReduceFrac

CalcQuot

Calculate quotient

Next, the probability of Kevin winning the bicycle can be found in a similar way. First, highlight all the numbers that are even and greater than in the table.
Even Products That Are Greater Than Fifteen
As can be counted, the number of favorable outcomes for Kevin is out of possible outcomes. Using this information, the probability that Kevin wins the bicycle can be determined.
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Substitute values and simplify
SubstituteII

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ReduceFrac

CalcQuot

Calculate quotient

RoundDec

Round to decimal place(s)

Finally, the probability of Heichi winning can be found. He will win if the product is even and less than Start by identifying those numbers in the table.
Even Products That Are Less Than Fifteen
There are favorable outcomes for Heichi out of possible outcomes. With this information, the probability that Heichi wins can be found.
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Substitute values and simplify
SubstituteII

,

CalcQuot

Calculate quotient

RoundDec

Round to decimal place(s)

To determine whether the Heichi's method is fair, compare the probabilities of getting the bicycle for each person.
Since the probabilities are not the same, each player is not equally likely to get the bicycle. Therefore, Heichi's method is not fair.

Izabella's Method

Izabella suggested writing each player's name times on slips of paper and putting all pieces in a bowl. Then one slip is randomly picked, which determines who gets the bicycle. To investigate if this method is fair, begin by calculating the probability of keeping the bicycle for each player, then analyze the results.

Favorable Outcomes Total Outcomes Probability
Heichi wins
Izabella wins
Kevin wins

It was obtained that each player is equally likely to get the bicycle. Therefore, Izabella's method is fair.

Kevin's Method

Kevin suggested flipping a coin two times. To analyze his method, make a table of all possible outcomes.

Outcomes of flipping a coin two times
According to Kevin's method, if two heads show, then Heichi gets the bicycle. Note that there is only outcome that two heads show out of possible outcomes. Using this information, the probability that Heichi wins can be calculated.
SubstituteII

,

CalcQuot

Calculate quotient

Kevin also said that if two tails show, then Izabella gets the bicycle. Similarly, there is only outcome that two tails turn up out of possible outcomes. Therefore, the probability that Izabella keeps the bicycle is also
Finally, Kevin proposed that if they land on one heads and one tails, then he gets the bicycle. Identify those outcomes in the table.
Favorable outcomes for Kevin
There are favorable outcomes for Kevin out of total outcomes. With this information, the probability that Kevin gets the bicycle can be calculated.
SubstituteII

,

ReduceFrac

CalcQuot

Calculate quotient

Kevin's probability of winning is twice as great as Heichi's and Izabella's probabilities of winning. Therefore, this method is not fair.



Level 1
Level 2
Level 3
Making Fair Decisions
Exercises

A fair die has been labeled using dots. Each side can have any number ranging from to dots. Below we see the result of a large number of throws using this die.

Outcome (number of dots) Frequency
Two outcomes have the same theoretical probability. Find those two outcomes and justify the reasoning behind them.

Let's estimate the experimental probability of landing on each of the dot amounts. To do so, we will calculate how many times the die was thrown by adding up all the frequencies. 990+2580+...+1460=10 000 Now we can calculate the experimental probability of getting every number of dots by dividing the frequency of each outcome by the total number of throws.

Outcome Frequency Frequency/10 000 Probability
1 990 990/10 000 0.099
2 2580 2580/10 000 0.258
3 3430 3430/10 000 0.343
4 1050 1050/10 000 0.105
5 490 490/10 000 0.049
6 1460 1460/10 000 0.146

Note that none of the probabilities are around or greater than 0.5 — the probability if the specific number of dots appeared on 10 sides, which is half of the amount of sides. In that case, let's calculate the theoretical probability that a certain number of dots is present on 1 through 9 sides of the die.

Favorable sides Total number of sides Probability =
1 20 1/20 0.05
2 20 2/20 0.10
3 20 3/20 0.15
4 20 4/20 0.20
5 20 5/20 0.25
6 20 6/20 0.30
7 20 7/20 0.35
8 20 8/20 0.40
9 20 9/20 0.45

If we compare the experimental probabilities to the theoretical probabilities, we can conclude the following. Since0.10 ≈ 0.099, & 2sides have 1dot Since0.25 ≈ 0.258, & 5sides have2dots Since0.35 ≈ 0.343, & 7sides have3dots Since0.10 ≈ 0.105, & 2sides have 4dots Since0.05 ≈ 0.049, & 1sides have5dots Since0.15 ≈ 0.146, & 3sides have6dots As we can see, two sides have 1 dot and two sides have 4 dots. Therefore, these outcomes are equally likely in theory.

Paulina and classmates sing in their school's choir. They are very united and, for the benefit of the school's choir, their members have volunteered a total of hours doing after-school activities. Paulina has contributed hours of the total amount.

Picture of Paulina and the rest of the school choir with information about volunteering hours

Their next performance is coming soon, and it requires one member to perform a solo. The choir's conductor wants to make a fair decision when deciding who will perform the solo.


What is the probability of Paulina getting chosen if fair means that each student is equally likely to get picked? Give the answer as a fraction in simplest form.
How probable would it be for Paulina to get chosen if fair means the decision is proportional to the number of hours each student has spent volunteering. Give the answer as a fraction in simplest form.

For this case, we consider a decision to be fair if each member of the choir has the same probability of being selected. Therefore, we are considering a uniform probability model with 20 possible outcomes, which is the total number of choir members, including Paulina. &P=Number of favorable outcomes/Number of possible outcomes [1em] &P = 1/20 Under this set up, the probability of Paulina getting chosen is the same as every other member, 1 20. Note that the hours spent volunteering did not have any effect in the decision's method.

In this case, we are considering the decision to be fair it proportional to the number of hours each member volunteered. With that in mind, the probability for any member chosen can be determined as follows. P=Hours volunteered by the member/Total number of volunteered hours We know that the total number of volunteered hours is 150 from which Paulina contributed 25. This can be substituted into the equation. P = 25/150 = 1/6 Taking into account the definition of fair by these standards, we have calculated the probability of Paulina being selected to be 16.

Consider the four following dice nets — each diagram represents the faces of a die. They have been labeled and

four different dice nets

Two friends are using these dice to play a game. They agree upon a winning event and then each choose one die to roll. Which of the dice would produce a fair game for the given event?

A game is fair if the probabilities of winning are the same for every player. To calculate probability of winning, we can divide the number of favorable outcomes by the total number of possible outcomes. P=Number of favorable outcomes/Number of possible outcomes Notice that all dice have 6 sides. Therefore, the number of possible outcomes is 6 for all four dice. To determine the favorable outcomes, we must count which sides are favorable for the given event, in this case odd numbers. Let's mark all of the sides having odd numbers.

As we can see, both D1 and D4, have 4 sides with odd numbers. Since both have the same number of favorable outcomes, the probability of winning is the same for both players P = 4 6 = 23. Therefore, if the friends play using these dice, the game will be fair and the winner can happily enjoy their steak.

In this case, the favorable event is defined to be getting a number greater than 2. Let's mark all of the sides that have numbers greater than 2 on the different dice.

As we can see, D2, D3, and D4 all have 3 sides that are greater than 2. Since these three dice have the same number of favorable outcomes, if the friends play using any pair from these dice, the game will be fair and the winner can happily enjoy their ice cream!

In this case, the favorable event is defined to be rolling a number less than 3. Let's mark all of the sides that have numbers less than 3 on the different dice.

Again, in D2, D3, and D4, we have the same number of favorable outcomes. Therefore, the friends can pick any pair from these dice and enjoy the winnings of their game!

Two brothers are arguing who should clean up after the party they had last night. To decide, they are coming up with different ways to settle which one will do the cleaning. Which of the following situations represents a fair decision making process?

We will analyze each of these statements, one at a time.

I. They Toss a Coin

When tossing a coin, there are only two possible outcomes — heads or tails. Both outcomes have the same probability P= 12. The brothers are equally likely to do the cleaning if they decide by tossing a coin. Therefore, this method is fair.

II. They Play a Game of Tic-Tac-Toe

There are several factors that can affect the probabilities of one of the brothers winning the game of Tic-Tac-Toe. The person who plays first has advantage. Additionally, one of the brothers may have more experience playing Tic-Tac-Toe. Therefore, this is not a fair decision making process.

III. They play Rock Paper Scissors

Initially, one may think that this is an example of a fair decision making process. However, studies show that rock is the preferred choice when playing the game. About 35 % of the time, rock is chosen. Therefore, this is not a fair decision making process as one brother might be aware that rock is a likely choice of his opponent.

IV. They Let a Friend Decide

This is not a fair decision making process. Consider that if the friend has a preference or is friendlier with one of the brothers, the decision made is more likely to be bias.

Conclusion

Base on the points in our discussion, of the presented situations, we can conclude that only i represents a fair decision making process.

Making Fair Decisions

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