Ciaramitaro Dobranski Weidemann
10C March 21st, 2017
Trumped Up Carnival
Have you ever dreamed of a carnival game that was not only fun to play, but also a great
tool for getting students interested into the history of US presidents? Imagine a simple game in
which no skill was involved, all that had to be done was roll a die, and random probability would
determine the outcome. There would be fantastic prizes, ranging from candy suckers to miniature
American flags… perhaps even a sticker of the current US president! This amazing contraption
does exist, and the following will explain how to play, and your chances at winning.
Description:
A presidential themed carnival game... what better way is there to get the youth of
America interested in politics? Although featuring the randomness element of dice, this carnival
game incorporates an extra mixup of probability with a drop tube and designated “prize” spots at
the bottom. To better suit the theme, the standard six number die has been replaced with a
patriotic, star spangled, red; white; and blue probability cube. Prize spots are labeled with images
of some of our country's former (and current) presidents. Classics such as dum-dum suckers,
miniature American flags, and even presidential stickers are the potential prizes. This simple yet
addictive game can provide endless fun, all for the low price of 50¢.
Rules:
1. Do not look down the center tube when dropping the die.
2. Do not attempt to move the box while the die is being dropped.
Directions:
1. Carefully pull the lid off the game and take the die out of the box.
2. Place the lid back on the box, ensure that the lid is properly secured, and lies flat on the
top of the box.
3. Take the die and drop it down the tube.
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10C March 21st, 2017
4. Open the box to observe if a prize has been won or not. The criteria for winning a prize is
as followed:
a. The die lands on a picture of Donald Trump, and has a faceup value of red:
→ Donald Trump Sticker
b. The die lands on a picture of Barack Obama:
→ Miniature American flag
c. The die lands with a faceup value of red:
→ Win a dum-dum sucker
(If multiple sets of criteria were met on your attempt, take the highest level prize,)
5. Leave the die in the box for the next player.
Figure 1. Carnival Game Diagram
The above figure shows a diagram for the design for this game. The box with the four
pictures is at the top while the lid with the tube is on the bottom. The lid will be originally on the
top of the box before the game is played. Once the player takes the lid off the player must replace
it after their turn is completed.
Table 1
Possible Outcomes
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10C March 21st, 2017
Trump Obama Reagan Kennedy
Red 1/12 1/12 1/12 1/12
White 1/12 1/12 1/12 1/12
Blue 1/12 1/12 1/12 1/12
Table 1 shows all of the outcomes that are possible in each trial. These outcomes make
up the full sample space and add up to one. Every outcome has the same probability, which
means each outcome is as likely as the next to be rolled when someone is playing the game.
Table 2
Prize Possibilities
Prize Level Needed Outcome Probability of Winning
Top P(Die: Red ∩ President: Trump) 1/12
Secondary P(President: Obama ∩ 𝑅𝑅𝑅) 2/12
Tertiary P(Die: Red) 3/12
Overall:
6/12
Table 2 shows the possibilities of winning a prize. The top prize, which is rolling a red on
the Donald Trump picture, has a probability of 1/12. The second place prize, which is rolling the
dice (any color besides red) onto the picture of Barack Obama, has a probability of 2/12. The last
prize is won when the die lands on red. This has a probability of 3/12. If the die were to roll a red
and land on Barack Obama, then the third place prize will be awarded as the red correlates to the
republican party which is now in office. The probability of losing would be the complement of
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10C March 21st, 2017
the total overall chance of winning, or 6/12. The overall perspective for this paper will be in
regards to the player which will be a loss.
Table 3.
Probability Distribution Chart
$ -0.50 -0.35 -0.20 +2.50
P($) 6/12 3/12 2/12 1/12
Table 3 above shows a probability distribution chart for the possible outcomes of the
game. In order of left to right, the prize cost and probability of winning goes from a loss, to a
tertiary prize win, to a secondary prize win, all the way to a top level prize. It lists the monetary
value of the prizes when the cost to play ($0.50) is taking into account, alongside the probability
(found in table 2) of them occurring. This means that the top level prize costs $3.00, after
subtracting the initial cost, you’re left with a “profit” of $2.50. These values can then be plugged
into the expected value equation (as shown in the next figure) which will then provide the overall
expected value (which will be shown in Figure 2).
𝑅𝑅𝑅𝑅𝑅𝑅𝑅𝑅 𝑅𝑅𝑅𝑅𝑅
= −0.5(𝑅) − 0.35(𝑅) − 0.20(𝑅)
+ 2.5(𝑅)
Figure 2. Expected Value Formula
In Figure 2, the formula for finding the expected value of a randomized game is shown.
Each variable represents the probability of winning a certain prize (n for no prize, t for tertiary
prize, s for second prize, and f for first/top prize). The value those variables are multiplied by are
the monetary gain/loss the player receives upon earning those values.
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10C March 21st, 2017
𝑅𝑅𝑅𝑅𝑅𝑅𝑅𝑅 𝑅𝑅𝑅𝑅𝑅
= −0.5(6/12) − 0.35(3/12) − 0.20(2/12) + 2.5(1/12)
𝑅𝑅𝑅𝑅𝑅𝑅𝑅𝑅 𝑅𝑅𝑅𝑅𝑅 = −0.1625
Figure 3. Expected Value
The above figure shows how the expected value was calculated. Each monetary value and
its corresponding probability were multiplied together. Each of those answers were then added to
get the expected value of -0.1625. This means that, in the long run, the player will lose about 16
cents every time they play this game.
Table 4
Results of 50 Trial Simulation
Trial Results Win?
1 WR No
2 WR No
3 RK 3rd
4 BR No
5 WK No
... ... ....
45 WT No
46 BT No
47 WK No
48 WK No
49 RK 3rd
50 RO 3rd
Table 4 shows the relative frequencies of the first and the last 5 trials in the 50 trial
simulation. The data that was taken includes the outcome of each roll and if that roll won. The
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table also shows the prize that was won in each trial. This data was collected by manually
playing the game 50 times.
Table 5
Contingency Table of 50 Trial Simulation
Trump Obama Reagan Kennedy Total
Red 5 2 2 5 14
White 5 5 6 11 27
Blue 2 5 2 0 9
Total 12 12 10 16 50
Table 5 above shows the results in a contingency table of the 50 trials ran. Most of the
totals for each president seem just about spread throughout indicating no clear bias. The totals of
the colors on the die showed some bias toward the color white which indicates the dice could be
unfair. Another reason for this might be because of the law of large numbers and that there might
not have been enough trials to bring these results closer to the theoretical probability.
Total Loss of Player = (5 × 2.5) + (10 × (−0.2)) + (9 × (−0.35)) + (26 × (−0.5))
= -5.65
Average Loss Per Trial = -5.65/50
= -0.113
Figure 4. Total Loss and Average Loss of Player
Figure 4 shows that the player lost $5.65. This was calculated by multiplying the
monetary value of each prize to its corresponding relative frequency. On average, the player lost
about 11 cents per trial. This was calculated by dividing the total loss by the number of trials
which in this case is 50. The expected value was calculated to be -0.1625 which is somewhat
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close to the average loss of -0.113 from this set of results. This number is not exact because of
the law of large numbers. The more trials runned allows the average loss to get closer and closer
to its expected value. Fifty trials was not enough to get the average loss to its expected value.
Figure 5. 500 Trial Simulation
Figure 5 is a screenshot taken, from random.org, of 500 numbers generated randomly 1-
12. These numbers were generated by random.org to insure randomness of results. Simulation
two was designed by having random numbers generated 1-12 500 times from random.org. When
a number was 1-6, it was marked as a loss. If a number was 7-9, then it was marked as a winner
of a third place prize. If a number was 10 or 11, then it was marked as a second place prize.
Lastly, if the number were to be a 12, then it was marked as the main prize. One of these
numbers generated is counted as a trial so there is a total of 500 trials.The amount of each
number was counted and put into a contingency table as shown in the next table.
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10C March 21st, 2017
Table 6
Contingency Table of 500 Trial Results
Number 1-6 7-9 10-11 12
Generated
Relative 258 122 76 44
Frequency
The above table shows the results of a simulation of 500 randomly generated numbers.
The numbers are categorized into their corresponding prizes. Out of these 500 trials, the player
of the game is calculated to lose about $77. This number was calculated by multiplying the
number of times each outcome occurred to its corresponding monetary profit, then adding all of
products up. The average amount of money that the player lost per trial is $-0.1538. This means
that on average the player will lose 15 cents every trial. This was calculated by dividing the total
amount lost by the player and dividing it by the number of trials which in this case will be 500.
Figure 6. Java Program Results
In Figure 6, the results given from the java program simulation are shown. These results
accurately line up with the expected values. Top prize winners account for roughly a twelfth of
the total simulated game's, second prize winners are nearly double that, and the tertiary prize
winners are just under triple. The expected value ( or average loss) indicates that everytime the
game is played, the player loses about $0.16 . This simulation was done by generating two
random numbers, the first ranging from one to four (representing the president the die may land
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on), and the second ranging from one to three (representing the faceup color on the die). From
there, a series of checks ran to see if they matched up with the necessary criteria to win the game,
and they were stored each time a match occurred. The average loss was determined with the
math equation seen in figure 2 with variable being replaced by the stored winner amounts. To see
the full java program that was created and the equation used to calculate the average loss, see the
“Appendix” at the end of the paper.
These simulations all share similar results, they are relatively close to the theoretical
probability. As the amount of trials played increases, the average loss becomes closer to what it
is to be expected as shown in Figure 2, otherwise being the law of large numbers.
Summary
Steve Jobs is quoted with saying “Great things in business are never done by one person.
They're done by a team of people.” . Trumped Up Carnival is an excellent example of this, a
collaborative group effort to produce the greatest presidential themed carnival game to have ever
been analyzed. From the business side, not only is it never ending fun for people of all ages, it is
also quick to turn a profit for the operator with a respectable average loss for the player of just
over 16¢ per game. If five hundred people where to play this game, that would create a profit of
exactly $80, which could then be used to purchase a few dozens brownies to hand out at the next
fundraiser. Alternatively, you could set up one of these contraptions at every voting booth in
America. If every single person who voted in the 2012 presidential election played this game, a
profit of over $20,653,664.48 would be made!
An analysis of the theoretical probability involved showed great results for both the
player and the operator. Half of all games played should result in some sort of prize given out,
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10C March 21st, 2017
though due to their relatively low costs the operator is still able to make a profit of 16.25¢ on
average. Upon actual trials being performed, the outlook seems to be dark and gloomy as more
are performed. At fifty trials, the results can go either way to do the relatively small sample
space, it is not horribly unlikely for a player profit to actually be made. However, towards five-
hundred and five-thousand trials, the law of large numbers becomes clearly present and the odds
of player returning a profit becomes slim to none as the relative frequency approaches the
theoretical. This was seen as the results with a fewer amount of trials produced an expected value
of -0.113, as more trials were added, this value got closer and closer to what it should be. With
five-hundred trials, the value was -0.1538 and at five thousand it was -0.1626. Of course, is
fantastic news for any entrepreneur looking for a money making machine.
Back to Steve Job’s quote, this carnival game was a group effort, and could not have been
accomplished without the work of everyone involved. The entirety of the project was divided up
into three separate parts. Those being the construction, the math and logistics, and the writing,
organizing, and formatting the paper itself. While everyone did partake in various aspects of the
project, certain people took leads on what they were believed to be best at, in order to produce
the best possible result. Andy was the main person to work with the construction, and making
sure that all the dimensions, parts, and design tied together nicely. Nathan paved the way for the
paper, making sure that all aspects were incorporated and requirements met, alongside setting up
the initial java program. Reis was responsible for reasoning out how the game would work, what
conditions needed to be met for certain scenarios to occur, and getting the probabilities of each
respective event occurring. This evenly distributed the workload, and was extremely efficient in
getting the task accomplished.
Ciaramitaro Dobranski Weidemann
10C March 21st, 2017
Appendix