Math Assignment 5 Total 25 points (All answers worth 1 point except for Question 17 = 4 points) 1. If only one of several events can occur at a time, we refer to these events as being mutually exclusive events. True or False 2. The Cunard luxury liner, Queen Elizabeth 2, cannot be docked in Hong Kong and Bangkok at the same time. Events such as these that cannot occur simultaneously are said to be outcomes. True or False 3. Bayes' theorem is used to calculate a subjective probability. True or False 4. The National Center for Health Statistics reported that of every 883 deaths in recent years, 24 resulted from an automobile accident, 182 from cancer and 333 from heart disease. Using the relative frequency approach, what is the probability that a particular death is due to an automobile accident? A) 24/883 or 0.027 B) 539/883 or 0.610 C) 24/333 or 0.072 D) 182/883 or 0.206 Answer = 5. If two events A and B are mutually exclusive, what does the special rule of addition state? A) P(A or B) = P(A) + P(B) B) P(A and B) = P(A) + P(B) C) P(A and/or B) = P(A) + P(B) D) P(A or B) = P(A) – P(B) Answer = 6. There are 10 rolls of film in a box and 3 are defective. Two rolls are to be selected without replacement. What is the probability of selecting a defective roll followed by another defective roll? A) 1/2, or 0.50 B) 1/4, or 0.25 C) 1/120, or about 0.0083 D) 1/15, or about 0.07 Answer = 7. A lamp manufacturer has developed five lamp bases and four lampshades that could be used together. How many different arrangements of base and shade can be offered? A) 5 B) 10 C) 15 D) 20 Answer = 8. The first card selected from a standard 52-card deck was a king. If it is NOT returned to the deck, what is the probability that a king will be drawn on the second selection? A) 1/3 or 0.33 B) 1/51, or 0.0196 C) 3/51, or 0.0588 D) 1/13 or 0.077 Answer = 9. When are two events mutually exclusive? A) They overlap on a Venn diagram B) If one event occurs, then the other cannot C) Probability of one affects the probability of the other D) Both (a) and (b) Answer = 10. The process used to calculate the probability of an event given additional information has been obtained is A) Bayes's theorem. B) classical probability. C) permutation. D) subjective probability. Answer = 11. If there are five vacant parking places and five automobiles arrive at the same time, in how many different ways they can park? ____________ 12. To construct a binomial probability distribution, the number of trials and the probability of success must be known. True or False 13. Which is true for a binomial distribution? A) There are three or more possible outcomes B) Probability of success remains the same from trial to trial C) Value of p is equal to 1.50 D) All of the above are correct Answer = 14. A study of the opinion of designers with respect to the primary color most desirable for use in e ...

1. Math Assignment 5
Total 25 points
(All answers worth 1 point except for Question 17 = 4 points)
1. If only one of several events can occur at a time, we refer to
these events as being mutually exclusive events.
True or False
2. The Cunard luxury liner, Queen Elizabeth 2, cannot be
docked in Hong Kong and Bangkok at the same time. Events
such as these that cannot occur simultaneously are said to be
outcomes.
True or False
3. Bayes' theorem is used to calculate a subjective
probability.
True or False
4. The National Center for Health Statistics reported that of
every 883 deaths in recent years, 24 resulted from an
automobile accident, 182 from cancer and 333 from heart
disease. Using the relative frequency approach, what is the
probability that a particular death is due to an automobile
accident?
A) 24/883 or 0.027
B) 539/883 or 0.610
C) 24/333 or 0.072
D) 182/883 or 0.206
Answer =
5. If two events A and B are mutually exclusive, what does the
special rule of addition state?
A) P(A or B) = P(A) + P(B)
B) P(A and B) = P(A) + P(B)
C) P(A and/or B) = P(A) + P(B)
D) P(A or B) = P(A) – P(B)
Answer =

2. 6. There are 10 rolls of film in a box and 3 are defective. Two
rolls are to be selected without replacement. What is the
probability of selecting a defective roll followed by another
defective roll?
A) 1/2, or 0.50
B) 1/4, or 0.25
C) 1/120, or about 0.0083
D) 1/15, or about 0.07
Answer =
7. A lamp manufacturer has developed five lamp bases and four
lampshades that could be used together. How many different
arrangements of base and shade can be offered?
A) 5
B) 10
C) 15
D) 20
Answer =
8. The first card selected from a standard 52-card deck was a
king. If it is NOT returned to the deck, what is the probability
that a king will be drawn on the second selection?
A) 1/3 or 0.33
B) 1/51, or 0.0196
C) 3/51, or 0.0588
D) 1/13 or 0.077
Answer =
9. When are two events mutually exclusive?
A) They overlap on a Venn diagram
B) If one event occurs, then the other cannot

3. C) Probability of one affects the probability of the other
D) Both (a) and (b)
Answer =
10. The process used to calculate the probability of an event
given additional information has been obtained is
A) Bayes's theorem.
B) classical probability.
C) permutation.
D) subjective probability.
Answer =
11. If there are five vacant parking places and five automobiles
arrive at the same time, in how many different ways they can
park? ____________
12. To construct a binomial probability distribution, the number
of trials and the probability of success must be known.
True or False
13. Which is true for a binomial distribution?
A) There are three or more possible outcomes
B) Probability of success remains the same from trial to trial
C) Value of p is equal to 1.50
D) All of the above are correct
Answer =
14. A study of the opinion of designers with respect to the
primary color most desirable for use in executive offices
showed that:
What is the probability that a designer does not preferred?

4. A) 1.00
B) 0.77
C) 0.73
D) 0.23
Answer =
15. An automatic machine inserts mixed vegetables into a
plastic bag. Past experience revealed that some packages were
underweight and some were overweight, but most of them had
satisfactory weight.
What is the probability of selecting three packages that are
satisfactory?
A) 0.900
B) 0.810
C) 0.729
D) 0.075
Answer =
16. A cell phone salesperson has kept records on the customers
who visited the store. 40% of the customers who visited the
store were female. Furthermore, the data show that 35% of the
females who visited his store purchased a cell phone, while 20%
of the males who visited his store purchased a cell phone. Let
represent the event that a customer is a female, represent the
event that a customer is a male, and B represent the event that a
customer will purchase a phone. (3 answers for this questions.)
16 A. What is the probability that a female customer will
purchase a cell phone?
Answer ____________
16 B. What is the probability that a male customer will purchase

5. a cell phone?
Answer ____________
16 C. The salesperson has just informed us that a cell phone was
purchased. What is the probability that customer was female?
Answer ____________
17. Draw a Venn diagram showing the probability for two
mutually exclusive events and a Venn diagram showing the
probability for two events that are not mutually exclusive.
Explain the difference in the two diagrams. If you are not able
to draw, then explain the diagram – how it would look. Worth 4
points.
18. A new computer game has been developed and 80 veteran
game players will test its market potential. If sixty players
liked the game, what is the probability that any veteran game
player will like the new computer game? _______
19. When applying the special rule of addition for mutually
exclusive events, the joint probability is:
A) 1
B) .5
C) 0
D) unknown
20. Routine physical examinations are conducted annually as
part of a health service program for the employees. It was
discovered that 8% of the employees needed corrective shoes,
15% needed major dental work and 3% needed both corrective
shoes and major dental work. What is the probability that an
employee selected at random will need either corrective shoes
or major dental work?
A) 0.20
B) 0.25
C) 0.50
D) 1.00

6. E) None of the above
21. Calculate the sample mean, sample variance, and sample
standard deviation for the following data set: 3.0 ; 3.4 ; 2.6 ; 3.3
; 3.5 ; 3.2
Primary Color
Number of Opinions
Red
92
Orange
86
Yellow
46
Green
91
Blue
37
Indigo

7. 46
Violet
2
Weight
% of Total
Underweight
2.5
Satisfactory
90.0
Overweight
7.5
1
A
2
A
Roster#First NameLast
NameCl.Pos.Ht.Wt.Hometown60WarsameAdenFROL6’
5”278Columbus, OhioPopulation
Mean214.64393939394JalenAlexanderSODB5’ 10”180Miami
Gardens, Fla.Population Standard
Deviation42.246773693571MattAndersonFROL6’

8. 4”295Monticello, Indiana10JeremyArmstrongJRWR6’
3”205Springfield, Ohio25RoamelleBellSRCB5’ 9”182Shaker
Heights, OhioJonathanBisonoFROL6’ 2”270Cincinnati,
OhioNathanBlairFROL6’ 4”300Amherst,
OhioJonBlankenshipFRDE6’ 0”230Dunkirk,
Indiana20PatrickBoggsSRRB6’ 0”205Mogadore,
Ohio40DavionBowersSRRB5’ 10”220Canal Winchester
OH96JoshBrebantFRK6’ 1”190Akron,
Ohio24JerryBrownJRRB6’ 1”185McComb,
Ohio62MasonButlerSOOL6’ 2”275Malvern,
Ohio19DerekCalderonSODB5’ 10”180Covina,
Ca.48JakeCarisalesSOLB5’ 10”190Port Clinton,
Ohio68AlecCarnicomFROL6’ 2”280Freemont,
Ohio73ChaseCarterSOOL6’ 3”275Lewis Center,
Ohio77DavidCastorenaSROL6’ 3”295Phoenix,
Ariz.12VictorCaveFRLS6’ 1”240Cincinnati,
OhioColeChandlerFRWR5’ 10”180Springboro,
OhioMauriceChatman IIFRRB5’ 7”160Columbus,
OhioTroyClayFRRB5’ 9”190Springfield,
Ohio46SheldonClemonsSRRB5’ 11”180Detroit,
Mich.NathanCoffmanFRTE6’ 4”230Crestline, OhioCharlesCole
IIIFRDE6’ 2”240Ypsilanti,
Michigan18CarringtonConteeSODB5’ 9”160Tracey's Landing,
MD84PedroCorrea IIISRWR6’ 1”165Deerfield Beach,
Fla.15MikeCovingtonJRLB6’ 1”210Columbus,
Ohio65KameronCrimFROL6’ 4”305Covington,
KentuckyAlecD'AngelaFRLB5’ 10”190Windsor, Ontario,
CanadaBlakeDarnellFRDT6’ 2”240New Lexington,
OhioTwainDavisFRDT6’ 2”330Marion,
OhioChristianDawsonFRWR5’ 11”205Mt. Orab,
Ohio37TomislavDerezicSRK6’ 0”220Mentor,
OhioQuintinDowdyFRFS6’ 2”190Walled Lake,
Michigan94RyeanDowlingSOLB5’ 11”180St. Thomas, Virgin
Islands33JordanDyeFRSS6’ 0”200Tiffin, Ohio18DJEdwards-
StewartSRDB6’ 0”205Detroit, MichiganTommyFallowFRDE6’
3”210Chillicothe, Ohio13BrockFargusFRQB6’ 2”185Zanesville,

9. Ohio70KileFoxSOOL6’ 2”275Bellevue,
Ohio98JaredFriszmanSOPK5’ 10”170Macedonia,
Ohio87DerekGoeckeJRWR6’ 2”185Spencerville,
OhioCalvinGreenFRWR5’ 11”200Flint,
Michigan50EvanGreenFRLB6’ 3”220Lapeer,
Michigan30RyanGroomsFRLB6’ 3”230Grove City,
OhioJosephHarakalFRK/P5’ 11”180Catasauqua,
Pa.58BlakeHarperSODE6’ 1”240Dayton,
Ohio45TerryHarperJRLB5’ 11”220Columbus,
OhioGarrettHausmanFRLB5’ 10”220Freemont,
Ohio35AndrewHawkinsFRLB6’ 2”190Cincinnati,
Ohio36AlHaynesSORB5’ 10”175Bellevue,
Ohio63DavidHeilSOOT6’ 6”330Galloway,
Ohio81JordanHerrnsteinFRTE6’ 4”190New Washington,
Ohio28JustinHerrnsteinSRLB6’ 4”220New Washington,
OhioJordanHissongFRWR6’ 1”178Fort Wayne,
Indiana5CharlesHollandSOWR6’ 4”185Columbus,
OhioOrlandoHowardFRLB5’ 8”200Cincinnati,
OhioTorianoHudsonFRCB5’ 9”140Warren,
MichiganHaydenHunterFRRB5’ 9”190Lewis Center,
Ohio19AntwonIveryFRWR5’ 10”185South Bend,
IndianaMarvinJackson IIIFRDB6’ 2”180Oberlin,
Ohio43AustinJasperSOLB6’ 3”235Earlville,
N.Y.27SeanJohnsonSOS6’ 0”195Miramar,
Florida8VinnyJonesJRDE6’ 3”225Dublin,
Ohio1JohnnyJosephFRDB5’ 8”170Ft. Lauderdale,
FloridaNicholasKemperFRDE6’ 3”215Bucyrus,
OhioMelvinKingFRRB6’ 1”213Euclid,
Ohio90EddieKontulSODL6’ 4”275Marengo,
Ohio56KevinLefeldSODE6’ 3”235Huber Heights,
Ohio69JohnLewisSOOL6’ 4”313Trotwood,
Ohio37KadeLongFRLB6’ 0”230Clyde,
OhioKeeganLoweFRLB6’ 0”220Port Clinton,
Ohio42MorganLoydJROLB6’ 3”220Dacula,
Ga.WilliamMartinFRTE6’ 1”230Rockford,
Michigan82EricMaskeySOP6’ 3”210Sycamore,

10. Ohio2WillieMays IIIJRDE6’ 4”225Escondido,
California15ColinMcNamaraFRQB6’ 0”175Fairview Park,
OhioJacobMertusFRLB6’ 1”200Tallmadge,
OhioBlakeMillerFRSS5’ 9”180Clyde,
Ohio14CalebMillerSODB5’ 11”185Carlisle,
Ohio64AzellMitchellSOOL6’ 3”280Cincinnati,
Ohio23RossMooreFRCB5’ 9”160Lake Orion,
Michigan47LewisMorrisonFRDB5’ 8”170Lexington,
Kentucky14JosephMullenFRQB6’ 3”185Dundee,
IllinoisBlaneMurilloFRWR5’ 8”178Lakeland,
Michigan72MattNobleJROL6’ 3”285Cincinnati,
Ohio26JordanNoblesSORB5’ 10”176Northfield,
Ohio9ClintonOkoroSRDB5’ 9”170San Jose,
Ca.51GregeryPageFRLB6’ 1”225Cleveland,
OhioLafaelePauliFRS5’ 10”210San Jose,
California2AntonioPipkinJRQB6’ 3”205Gary,
Ind.76MaxPollomJROL6’ 6”310Plain City,
Ohio44TommyPritchardSRLB6’ 3”230Way Care,
Ariz.93JalenRandolphJRDL5’ 10”250Columbus,
Ohio91JamarRandolphJRDL6’ 0”230Columbus,
Ohio16AustenRankinJRWR5’ 10”170Dublin,
Ohio9IsaiahRichmondFRRB6’ 0”225Pickerington,
OhioRyanRiosFRWR5’ 7”155Loudonville,
Ohio17CodyRollinsSOSS6’ 2”185Lima,
OhioSchnyderRosierFRCB5’ 7”165Palm Beach,
FloridaCharlesRoss IIIFRRB5’ 7”175Toronto,
OhioMichaelSabolFRDE6’ 2”230Parma Heights,
Ohio7JalenSantoroJRWR6’ 1”160Bellevue,
OhioDylanSaundersFRK5’ 10”215Gallipolis,
Ohio66LoganSchneiderSOOL6’ 3”290Alexandria,
Ky.21ShawnScottJRDB6’ 0”195Dublin, OhioLoganSeeFRLS6’
0”220Grove City, Ohio11TonySheadSRWR6’ 1”190South Bend,
Ind.80JamalSlappyFRWR6’ 3”195Columbus,
Ohio83JalenSlickFRWR5’ 10”175Freemont,
Ohio29TajahSmithFRRB5’ 9”179South Bend,
IndianaAnthonySpringerFRWR6’ 1”208Southfield,

11. Michigan31JesseStoudtSRLB6’ 0”220Barnesville,
Ohio41MikeTaggartSOLB6’ 1”180Gahanna,
Ohio57RidgeTarwackiFROL6’ 3”300Edwardsburg,
MichiganBrokTheisenFRLB6’ 0”180New Bavaria,
OhioJohnsonThomasFRLB5’ 9”215Pompano Beach,
Florida75AlThompsonJRDT6’ 4”300Marysville,
OhioDeAndreThompsonFRTE6’ 1”255Euclid,
OhioManzyVelasquezFRDT5’ 11”265Tampa,
FloridaKevinWadeFRDL6’ 2”290Canal Winchester,
Ohio54HunterWaitsFRDE6’ 5”235Columbus,
Ohio53DariusWalkerSODT6’ 3”285Marysville,
OhioMartyWardFRRB5’ 9”223Niles,
Michigan3ChrisWatkinsSORB5’ 9”190Southfield,
Mich.20DareianWatkinsFRWR6’ 1”195Galion,
OhioBryanWatson IIFRDB5’ 9”155Farmington Hills,
Michigan19NickWheelerSOQB6’ 0”180Mansfield,
Ohio6StefanWillisSODB6’ 0”185Akron,
Ohio10AustinWoodsideFRQB5’ 11”200Chesterfield,
MichiganBrantZemelkaFRSS5’ 11”180Middlefield, Ohio
Sheet1#First NameLast
NameCl.Pos.Ht.Wt.Hometown60WarsameAdenFROL6’
5”278Columbus, Ohio4JalenAlexanderSODB5’ 10”180Miami
Gardens, Fla.71MattAndersonFROL6’ 4”295Monticello,
Indiana10JeremyArmstrongJRWR6’ 3”205Springfield,
Ohio25RoamelleBellSRCB5’ 9”182Shaker Heights,
OhioJonathanBisonoFROL6’ 2”270Cincinnati,
OhioNathanBlairFROL6’ 4”300Amherst,
OhioJonBlankenshipFRDE6’ 0”230Dunkirk,
Indiana20PatrickBoggsSRRB6’ 0”205Mogadore,
Ohio40DavionBowersSRRB5’ 10”220Canal Winchester
OH96JoshBrebantFRK6’ 1”190Akron,
Ohio24JerryBrownJRRB6’ 1”185McComb,
Ohio62MasonButlerSOOL6’ 2”275Malvern,
Ohio19DerekCalderonSODB5’ 10”180Covina,
Ca.48JakeCarisalesSOLB5’ 10”190Port Clinton,
Ohio68AlecCarnicomFROL6’ 2”280Freemont,

12. Ohio73ChaseCarterSOOL6’ 3”275Lewis Center,
Ohio77DavidCastorenaSROL6’ 3”295Phoenix,
Ariz.12VictorCaveFRLS6’ 1”240Cincinnati,
OhioColeChandlerFRWR5’ 10”180Springboro,
OhioMauriceChatman IIFRRB5’ 7”160Columbus,
OhioTroyClayFRRB5’ 9”190Springfield,
Ohio46SheldonClemonsSRRB5’ 11”180Detroit,
Mich.NathanCoffmanFRTE6’ 4”230Crestline, OhioCharlesCole
IIIFRDE6’ 2”240Ypsilanti,
Michigan18CarringtonConteeSODB5’ 9”160Tracey's Landing,
MD84PedroCorrea IIISRWR6’ 1”165Deerfield Beach,
Fla.15MikeCovingtonJRLB6’ 1”210Columbus,
Ohio65KameronCrimFROL6’ 4”305Covington,
KentuckyAlecD'AngelaFRLB5’ 10”190Windsor, Ontario,
CanadaBlakeDarnellFRDT6’ 2”240New Lexington,
OhioTwainDavisFRDT6’ 2”330Marion,
OhioChristianDawsonFRWR5’ 11”205Mt. Orab,
Ohio37TomislavDerezicSRK6’ 0”220Mentor,
OhioQuintinDowdyFRFS6’ 2”190Walled Lake,
Michigan94RyeanDowlingSOLB5’ 11”180St. Thomas, Virgin
Islands33JordanDyeFRSS6’ 0”200Tiffin, Ohio18DJEdwards-
StewartSRDB6’ 0”205Detroit, MichiganTommyFallowFRDE6’
3”210Chillicothe, Ohio13BrockFargusFRQB6’ 2”185Zanesville,
Ohio70KileFoxSOOL6’ 2”275Bellevue,
Ohio98JaredFriszmanSOPK5’ 10”170Macedonia,
Ohio87DerekGoeckeJRWR6’ 2”185Spencerville,
OhioCalvinGreenFRWR5’ 11”200Flint,
Michigan50EvanGreenFRLB6’ 3”220Lapeer,
Michigan30RyanGroomsFRLB6’ 3”230Grove City,
OhioJosephHarakalFRK/P5’ 11”180Catasauqua,
Pa.58BlakeHarperSODE6’ 1”240Dayton,
Ohio45TerryHarperJRLB5’ 11”220Columbus,
OhioGarrettHausmanFRLB5’ 10”220Freemont,
Ohio35AndrewHawkinsFRLB6’ 2”190Cincinnati,
Ohio36AlHaynesSORB5’ 10”175Bellevue,
Ohio63DavidHeilSOOT6’ 6”330Galloway,

13. Ohio81JordanHerrnsteinFRTE6’ 4”190New Washington,
Ohio28JustinHerrnsteinSRLB6’ 4”220New Washington,
OhioJordanHissongFRWR6’ 1”178Fort Wayne,
Indiana5CharlesHollandSOWR6’ 4”185Columbus,
OhioOrlandoHowardFRLB5’ 8”200Cincinnati,
OhioTorianoHudsonFRCB5’ 9”140Warren,
MichiganHaydenHunterFRRB5’ 9”190Lewis Center,
Ohio19AntwonIveryFRWR5’ 10”185South Bend,
IndianaMarvinJackson IIIFRDB6’ 2”180Oberlin,
Ohio43AustinJasperSOLB6’ 3”235Earlville,
N.Y.27SeanJohnsonSOS6’ 0”195Miramar,
Florida8VinnyJonesJRDE6’ 3”225Dublin,
Ohio1JohnnyJosephFRDB5’ 8”170Ft. Lauderdale,
FloridaNicholasKemperFRDE6’ 3”215Bucyrus,
OhioMelvinKingFRRB6’ 1”213Euclid,
Ohio90EddieKontulSODL6’ 4”275Marengo,
Ohio56KevinLefeldSODE6’ 3”235Huber Heights,
Ohio69JohnLewisSOOL6’ 4”313Trotwood,
Ohio37KadeLongFRLB6’ 0”230Clyde,
OhioKeeganLoweFRLB6’ 0”220Port Clinton,
Ohio42MorganLoydJROLB6’ 3”220Dacula,
Ga.WilliamMartinFRTE6’ 1”230Rockford,
Michigan82EricMaskeySOP6’ 3”210Sycamore,
Ohio2WillieMays IIIJRDE6’ 4”225Escondido,
California15ColinMcNamaraFRQB6’ 0”175Fairview Park,
OhioJacobMertusFRLB6’ 1”200Tallmadge,
OhioBlakeMillerFRSS5’ 9”180Clyde,
Ohio14CalebMillerSODB5’ 11”185Carlisle,
Ohio64AzellMitchellSOOL6’ 3”280Cincinnati,
Ohio23RossMooreFRCB5’ 9”160Lake Orion,
Michigan47LewisMorrisonFRDB5’ 8”170Lexington,
Kentucky14JosephMullenFRQB6’ 3”185Dundee,
IllinoisBlaneMurilloFRWR5’ 8”178Lakeland,
Michigan72MattNobleJROL6’ 3”285Cincinnati,
Ohio26JordanNoblesSORB5’ 10”176Northfield,
Ohio9ClintonOkoroSRDB5’ 9”170San Jose,

14. Ca.51GregeryPageFRLB6’ 1”225Cleveland,
OhioLafaelePauliFRS5’ 10”210San Jose,
California2AntonioPipkinJRQB6’ 3”205Gary,
Ind.76MaxPollomJROL6’ 6”310Plain City,
Ohio44TommyPritchardSRLB6’ 3”230Way Care,
Ariz.93JalenRandolphJRDL5’ 10”250Columbus,
Ohio91JamarRandolphJRDL6’ 0”230Columbus,
Ohio16AustenRankinJRWR5’ 10”170Dublin,
Ohio9IsaiahRichmondFRRB6’ 0”225Pickerington,
OhioRyanRiosFRWR5’ 7”155Loudonville,
Ohio17CodyRollinsSOSS6’ 2”185Lima,
OhioSchnyderRosierFRCB5’ 7”165Palm Beach,
FloridaCharlesRoss IIIFRRB5’ 7”175Toronto,
OhioMichaelSabolFRDE6’ 2”230Parma Heights,
Ohio7JalenSantoroJRWR6’ 1”160Bellevue,
OhioDylanSaundersFRK5’ 10”215Gallipolis,
Ohio66LoganSchneiderSOOL6’ 3”290Alexandria,
Ky.21ShawnScottJRDB6’ 0”195Dublin, OhioLoganSeeFRLS6’
0”220Grove City, Ohio11TonySheadSRWR6’ 1”190South Bend,
Ind.80JamalSlappyFRWR6’ 3”195Columbus,
Ohio83JalenSlickFRWR5’ 10”175Freemont,
Ohio29TajahSmithFRRB5’ 9”179South Bend,
IndianaAnthonySpringerFRWR6’ 1”208Southfield,
Michigan31JesseStoudtSRLB6’ 0”220Barnesville,
Ohio41MikeTaggartSOLB6’ 1”180Gahanna,
Ohio57RidgeTarwackiFROL6’ 3”300Edwardsburg,
MichiganBrokTheisenFRLB6’ 0”180New Bavaria,
OhioJohnsonThomasFRLB5’ 9”215Pompano Beach,
Florida75AlThompsonJRDT6’ 4”300Marysville,
OhioDeAndreThompsonFRTE6’ 1”255Euclid,
OhioManzyVelasquezFRDT5’ 11”265Tampa,
FloridaKevinWadeFRDL6’ 2”290Canal Winchester,
Ohio54HunterWaitsFRDE6’ 5”235Columbus,
Ohio53DariusWalkerSODT6’ 3”285Marysville,
OhioMartyWardFRRB5’ 9”223Niles,
Michigan3ChrisWatkinsSORB5’ 9”190Southfield,

15. Mich.20DareianWatkinsFRWR6’ 1”195Galion,
OhioBryanWatson IIFRDB5’ 9”155Farmington Hills,
Michigan19NickWheelerSOQB6’ 0”180Mansfield,
Ohio6StefanWillisSODB6’ 0”185Akron,
Ohio10AustinWoodsideFRQB5’ 11”200Chesterfield,
MichiganBrantZemelkaFRSS5’ 11”180Middlefield, Ohio
Math 273
Sampling Procedures for Project 1
On the course portal webpage there is a file called “Project 1
Data.” This is the data file you want.
1. Save the Project 1 Data to your I:/ drive. Open the file in
Excel.
2. Find the name closest to your last name on the list. This is
the first member of your sample. In my case this is Deandre
Bell.
3. Select the entire row using the row tag on the left end.
4. Start counting with the next name on the list. Count down
three names. While holding the “Ctrl” key, select the row by
clicking on the row tag. You now have two non-adjacent rows
selected. Count down three more lines and select the next
member of your sample. Repeat this procedure until you have
thirty players. If you reach the bottom of the list go to the top
and continue.
5. “Copy” the selection. Now go to the “Blank” worksheet and
“Paste” the selection. You will now have your sample of thirty
players in its own sheet for analysis.
MAT 273 — Applied Statistics: PROJECT I
50 points

16. Tu University Football Team 2015
This past couple of weeks you have just studied the topics of
mean, median, mode, quartiles and standard deviation. Now, we
are going to use these mathematical concepts to analyze the
weights of the Tiffin University football team. Attached is a
roster of the players with their weights, and an electronic form
of this data is available on the course webpage.
Data Analysis:
Find your own personal sample of 30 players by starting at the
player named in the email that accompanied this assignment.
Start counting with the next person on the list, and take every
third person on the list until you get 30 people. (Jump to the top
of the table if you run out.)
Compute the five-number summary using the sample data above
and then construct a box-and-whisker plot for the data. If you
wish, you can use the graph template document and stretch the
elements to fit your data, or draw the graph neatly and
accurately by hand.
Calculate the mean and standard deviation for the sample data.
Use the mean and standard deviation from Part 3 to create an
Empirical Rule graph (normal curve). Compare the curve to the
box and whisker plot to determine if the data “roughly” follows
the Empirical Rule. If you wish, you can use the graph template
document and stretch the elements to fit your data.
The population mean for the entire team is 214.6 pounds and
population standard deviation for the entire team is 42.2
pounds. Compare these to the results for step 3. Do your sample
statistics fairly represent the population parameters?

17. Report your findings:
In addition to submitting all work and calculations (whether
done by hand or on Excel), you are to submit a word-processed
6-paragraph summary of the assignment and your findings. The
summary should be formatted with one paragraph for the
introduction , one paragraph of analysis/interpretation for each
of steps two through five listed above, and a one-paragraph
conclusion. The summary should notdetail your method of
calculations, rather it should report and interpret the results of
your calculations and what they mean. Submit the data, the
calculations, the graphs, and the analysis paper to Moodle or to
the instructor on or before the due date.
2015 Football Roster
#
First Name
Last Name
Cl.
Pos.
Ht.
Wt.
Hometown
60
Warsame
Aden
FR
OL
6’ 5”
278
Columbus, Ohio
4
Jalen

18. Alexander
SO
DB
5’ 10”
180
Miami Gardens, Fla.
71
Matt
Anderson
FR
OL
6’ 4”
295
Monticello, Indiana
10
Jeremy
Armstrong
JR
WR
6’ 3”
205
Springfield, Ohio
25
Roamelle
Bell
SR
CB
5’ 9”
182
Shaker Heights, Ohio
Jonathan

19. Bisono
FR
OL
6’ 2”
270
Cincinnati, Ohio
Nathan
Blair
FR
OL
6’ 4”
300
Amherst, Ohio
Jon
Blankenship
FR
DE
6’ 0”
230
Dunkirk, Indiana
20
Patrick
Boggs
SR
RB
6’ 0”
205
Mogadore, Ohio
40
Davion

20. Bowers
SR
RB
5’ 10”
220
Canal Winchester OH
96
Josh
Brebant
FR
K
6’ 1”
190
Akron, Ohio
24
Jerry
Brown
JR
RB
6’ 1”
185
McComb, Ohio
62
Mason
Butler
SO
OL
6’ 2”
275
Malvern, Ohio
19
Derek

21. Calderon
SO
DB
5’ 10”
180
Covina, Ca.
48
Jake
Carisales
SO
LB
5’ 10”
190
Port Clinton, Ohio
68
Alec
Carnicom
FR
OL
6’ 2”
280
Freemont, Ohio
73
Chase
Carter
SO
OL
6’ 3”
275
Lewis Center, Ohio
77
David

22. Castorena
SR
OL
6’ 3”
295
Phoenix, Ariz.
12
Victor
Cave
FR
LS
6’ 1”
240
Cincinnati, Ohio
Cole
Chandler
FR
WR
5’ 10”
180
Springboro, Ohio
Maurice
Chatman II
FR
RB
5’ 7”
160
Columbus, Ohio
Troy

23. Clay
FR
RB
5’ 9”
190
Springfield, Ohio
46
Sheldon
Clemons
SR
RB
5’ 11”
180
Detroit, Mich.
Nathan
Coffman
FR
TE
6’ 4”
230
Crestline, Ohio
Charles
Cole III
FR
DE
6’ 2”
240
Ypsilanti, Michigan
18
Carrington

24. Contee
SO
DB
5’ 9”
160
Tracey's Landing, MD
84
Pedro
Correa III
SR
WR
6’ 1”
165
Deerfield Beach, Fla.
15
Mike
Covington
JR
LB
6’ 1”
210
Columbus, Ohio
65
Kameron
Crim
FR
OL
6’ 4”
305
Covington, Kentucky
Alec

25. D'Angela
FR
LB
5’ 10”
190
Windsor, Ontario, Canada
Blake
Darnell
FR
DT
6’ 2”
240
New Lexington, Ohio
Twain
Davis
FR
DT
6’ 2”
330
Marion, Ohio
Christian
Dawson
FR
WR
5’ 11”
205
Mt. Orab, Ohio
37
Tomislav

26. Derezic
SR
K
6’ 0”
220
Mentor, Ohio
Quintin
Dowdy
FR
FS
6’ 2”
190
Walled Lake, Michigan
#
First Name
Last Name
Cl.
Pos.
Ht.
Wt.
Hometown
94
Ryean
Dowling
SO
LB
5’ 11”
180
St. Thomas, Virgin Islands
33
Jordan

27. Dye
FR
SS
6’ 0”
200
Tiffin, Ohio
18
DJ
Edwards-Stewart
SR
DB
6’ 0”
205
Detroit, Michigan
Tommy
Fallow
FR
DE
6’ 3”
210
Chillicothe, Ohio
13
Brock
Fargus
FR
QB
6’ 2”
185
Zanesville, Ohio
70
Kile

28. Fox
SO
OL
6’ 2”
275
Bellevue, Ohio
98
Jared
Friszman
SO
PK
5’ 10”
170
Macedonia, Ohio
87
Derek
Goecke
JR
WR
6’ 2”
185
Spencerville, Ohio
Calvin
Green
FR
WR
5’ 11”
200
Flint, Michigan
50
Evan

29. Green
FR
LB
6’ 3”
220
Lapeer, Michigan
30
Ryan
Grooms
FR
LB
6’ 3”
230
Grove City, Ohio
Joseph
Harakal
FR
K/P
5’ 11”
180
Catasauqua, Pa.
58
Blake
Harper
SO
DE
6’ 1”
240
Dayton, Ohio
45
Terry

30. Harper
JR
LB
5’ 11”
220
Columbus, Ohio
Garrett
Hausman
FR
LB
5’ 10”
220
Freemont, Ohio
35
Andrew
Hawkins
FR
LB
6’ 2”
190
Cincinnati, Ohio
36
Al
Haynes
SO
RB
5’ 10”
175
Bellevue, Ohio
63
David

31. Heil
SO
OT
6’ 6”
330
Galloway, Ohio
81
Jordan
Herrnstein
FR
TE
6’ 4”
190
New Washington, Ohio
28
Justin
Herrnstein
SR
LB
6’ 4”
220
New Washington, Ohio
Jordan
Hissong
FR
WR
6’ 1”
178
Fort Wayne, Indiana
5
Charles

32. Holland
SO
WR
6’ 4”
185
Columbus, Ohio
Orlando
Howard
FR
LB
5’ 8”
200
Cincinnati, Ohio
Toriano
Hudson
FR
CB
5’ 9”
140
Warren, Michigan
Hayden
Hunter
FR
RB
5’ 9”
190
Lewis Center, Ohio
19
Antwon

33. Ivery
FR
WR
5’ 10”
185
South Bend, Indiana
Marvin
Jackson III
FR
DB
6’ 2”
180
Oberlin, Ohio
43
Austin
Jasper
SO
LB
6’ 3”
235
Earlville, N.Y.
27
Sean
Johnson
SO
S
6’ 0”
195
Miramar, Florida
8
Vinny

34. Jones
JR
DE
6’ 3”
225
Dublin, Ohio
1
Johnny
Joseph
FR
DB
5’ 8”
170
Ft. Lauderdale, Florida
Nicholas
Kemper
FR
DE
6’ 3”
215
Bucyrus, Ohio
Melvin
King
FR
RB
6’ 1”
213
Euclid, Ohio
90
Eddie

35. Kontul
SO
DL
6’ 4”
275
Marengo, Ohio
56
Kevin
Lefeld
SO
DE
6’ 3”
235
Huber Heights, Ohio
#
First Name
Last Name
Cl.
Pos.
Ht.
Wt.
Hometown
69
John
Lewis
SO
OL
6’ 4”
313
Trotwood, Ohio
37
Kade

36. Long
FR
LB
6’ 0”
230
Clyde, Ohio
Keegan
Lowe
FR
LB
6’ 0”
220
Port Clinton, Ohio
42
Morgan
Loyd
JR
OLB
6’ 3”
220
Dacula, Ga.
William
Martin
FR
TE
6’ 1”
230
Rockford, Michigan
82
Eric

37. Maskey
SO
P
6’ 3”
210
Sycamore, Ohio
2
Willie
Mays III
JR
DE
6’ 4”
225
Escondido, California
15
Colin
McNamara
FR
QB
6’ 0”
175
Fairview Park, Ohio
Jacob
Mertus
FR
LB
6’ 1”
200
Tallmadge, Ohio
Blake

38. Miller
FR
SS
5’ 9”
180
Clyde, Ohio
14
Caleb
Miller
SO
DB
5’ 11”
185
Carlisle, Ohio
64
Azell
Mitchell
SO
OL
6’ 3”
280
Cincinnati, Ohio
23
Ross
Moore
FR
CB
5’ 9”
160
Lake Orion, Michigan
47
Lewis

39. Morrison
FR
DB
5’ 8”
170
Lexington, Kentucky
14
Joseph
Mullen
FR
QB
6’ 3”
185
Dundee, Illinois
Blane
Murillo
FR
WR
5’ 8”
178
Lakeland, Michigan
72
Matt
Noble
JR
OL
6’ 3”
285
Cincinnati, Ohio
26
Jordan

40. Nobles
SO
RB
5’ 10”
176
Northfield, Ohio
9
Clinton
Okoro
SR
DB
5’ 9”
170
San Jose, Ca.
51
Gregery
Page
FR
LB
6’ 1”
225
Cleveland, Ohio
Lafaele
Pauli
FR
S
5’ 10”
210
San Jose, California
2
Antonio

41. Pipkin
JR
QB
6’ 3”
205
Gary, Ind.
76
Max
Pollom
JR
OL
6’ 6”
310
Plain City, Ohio
44
Tommy
Pritchard
SR
LB
6’ 3”
230
Way Care, Ariz.
93
Jalen
Randolph
JR
DL
5’ 10”
250
Columbus, Ohio
91
Jamar

42. Randolph
JR
DL
6’ 0”
230
Columbus, Ohio
16
Austen
Rankin
JR
WR
5’ 10”
170
Dublin, Ohio
9
Isaiah
Richmond
FR
RB
6’ 0”
225
Pickerington, Ohio
Ryan
Rios
FR
WR
5’ 7”
155
Loudonville, Ohio
17
Cody

43. Rollins
SO
SS
6’ 2”
185
Lima, Ohio
Schnyder
Rosier
FR
CB
5’ 7”
165
Palm Beach, Florida
Charles
Ross III
FR
RB
5’ 7”
175
Toronto, Ohio
Michael
Sabol
FR
DE
6’ 2”
230
Parma Heights, Ohio
7
Jalen

44. Santoro
JR
WR
6’ 1”
160
Bellevue, Ohio
Dylan
Saunders
FR
K
5’ 10”
215
Gallipolis, Ohio
#
First Name
Last Name
Cl.
Pos.
Ht.
Wt.
Hometown
66
Logan
Schneider
SO
OL
6’ 3”
290
Alexandria, Ky.
21
Shawn

45. Scott
JR
DB
6’ 0”
195
Dublin, Ohio
Logan
See
FR
LS
6’ 0”
220
Grove City, Ohio
11
Tony
Shead
SR
WR
6’ 1”
190
South Bend, Ind.
80
Jamal
Slappy
FR
WR
6’ 3”
195
Columbus, Ohio
83
Jalen

46. Slick
FR
WR
5’ 10”
175
Freemont, Ohio
29
Tajah
Smith
FR
RB
5’ 9”
179
South Bend, Indiana
Anthony
Springer
FR
WR
6’ 1”
208
Southfield, Michigan
31
Jesse
Stoudt
SR
LB
6’ 0”
220
Barnesville, Ohio
41
Mike

47. Taggart
SO
LB
6’ 1”
180
Gahanna, Ohio
57
Ridge
Tarwacki
FR
OL
6’ 3”
300
Edwardsburg, Michigan
Brok
Theisen
FR
LB
6’ 0”
180
New Bavaria, Ohio
Johnson
Thomas
FR
LB
5’ 9”
215
Pompano Beach, Florida
75
Al

48. Thompson
JR
DT
6’ 4”
300
Marysville, Ohio
DeAndre
Thompson
FR
TE
6’ 1”
255
Euclid, Ohio
Manzy
Velasquez
FR
DT
5’ 11”
265
Tampa, Florida
Kevin
Wade
FR
DL
6’ 2”
290
Canal Winchester, Ohio
54
Hunter

49. Waits
FR
DE
6’ 5”
235
Columbus, Ohio
53
Darius
Walker
SO
DT
6’ 3”
285
Marysville, Ohio
Marty
Ward
FR
RB
5’ 9”
223
Niles, Michigan
3
Chris
Watkins
SO
RB
5’ 9”
190
Southfield, Mich.
20
Dareian

50. Watkins
FR
WR
6’ 1”
195
Galion, Ohio
Bryan
Watson II
FR
DB
5’ 9”
155
Farmington Hills, Michigan
19
Nick
Wheeler
SO
QB
6’ 0”
180
Mansfield, Ohio
6
Stefan
Willis
SO
DB
6’ 0”
185
Akron, Ohio
10
Austin

51. Woodside
FR
QB
5’ 11”
200
Chesterfield, Michigan
Brant
Zemelka
FR
SS
5’ 11”
180
Middlefield, Ohio