FINAL PROJECTBliss Brannon, Dan Faulkner, Ryan Dickson

Our Idea We wanted to see which car was most

popular in the mall parking lot We felt that there would be different

people going to the mall on different days and at different times of the day.

Collection of Our Data We went to different malls on different

days so that we would get a better representation of the people that go to the mall To get an even better representation of the

population we also went at different times of the day

While collecting our data we only collected every third car so that our data was random

Background The Ford Model-T was created in 1908 as

the first car Since then they have been creating

more aerodynamic cars that are able to go faster

As gas prices went up car engine sizes went down, but the engine efficiency went up and cars became faster and more fuel efficient

Variables When collecting our data we decided to

look at The make of the car The specific model What type of car it is (sedan, coupe, etc.) The color of the car Whether or not the car had a custom

license plate The engine size

Which car do you think is most popular in the mall parking lot?

Make

The most popular company that was in the mall parking lot was Toyota, with Honda not that far behind

There were a lot of companies that only had one car in the parking lots

5

10

15

20

25

30

35

40

45

Make

Acur

a

Audi

BMW

Buic

k

Cad

illac

Che

vy

Chr

ysle

r

Dod

ge

Ford

GM

C

Hon

da

Hyu

ndai

Infin

iti

Jagu

ar

Jeep KIA

Land

Rov

er

Lexu

s

Maz

da

Mer

cede

s

Mer

cury

Min

i

Mitz

ubis

hi

Nis

san

Pont

iac

Saab

Satu

rn

Scio

n

Smar

t

Suba

ru

Subu

ru

Suzu

ki

Toyo

ta

Volk

swag

on

Volv

o

count

Collection 1 Bar Chart

Model

Model

3 6 75 93 300

325C

I32

8I33

3CI

350Z

4Run

ner

528I

535I

A4Ac

cent

Acco

rdAl

tima

Bonn

eville

C28

0C

300

Cal

iber

Cam

aro

Cam

ryC

ellic

aC

harg

erC

hero

kee

Civ

icC

obal

t LS

Col

balt

SSC

omm

ande

rC

oope

rC

orol

laC

ruis

erC

RV

CX7

Dev

illeD

isco

very

Dur

ango

E536

0Ec

hoEd

geEl

antra

Elem

ent

Envo

yEq

uino

xEs

cape

EX47

0Ex

pedi

tion

Expl

orer

F150

F250

Fies

taFo

renz

aFo

rste

rFu

sion

G37

SG

rand

Car

avan

Gra

nd C

hero

kee

Gra

nd M

arqu

ise

GTR

GX4

70H

ybrid

Impa

llaIo

nJe

ttaLi

berty

Luce

rine

M35

XM

agnu

mM

alib

uM

atrix

Max

ima

MD

XM

onte

Car

loM

onte

roM

oren

oM

usta

ng G

TO

dess

yO

utba

ckPa

satt

Path

finde

rPi

lot

Priu

sPT

Cru

iser

Pure

Cou

peQ

5Q

uest

RAM

RAV

4R

idge

-line

Run

ner

S200

0S4

0S6

0Sa

ble

SC2

Sebr

ing

Sent

raSe

ntry

Sien

naSi

enna

XLE

Sona

taSo

rent

oSo

ulSt

ratu

sSu

burb

anTa

com

aTa

urus

Tita

nTL

Torr

ent

Trai

lbla

zer

Tran

s-am

Trib

ute

TSX

TX5

Venz

aVU

EW

rang

ler

X3 X5XC

80XD

X-Ty

peYa

risYu

kon

XL

count

Collection 1

2

4

6

8

10

12

14

16

Model

3 6 75 93 300

325C

I32

8I33

3CI

350Z

4Run

ner

528I

535I A4

Acce

ntAc

cord

Altim

aBo

nnev

illeC

280

C30

0C

alib

erC

amar

oC

amry

Cel

lica

Cha

rger

Che

roke

eC

ivic

Cob

alt L

SC

olba

lt SS

Com

man

der

Coo

per

Cor

olla

Cru

iser

CR

VC

X7D

eville

Dis

cove

ryD

uran

goE5

360

Echo

Edge

Elan

traEl

emen

tEn

voy

Equi

nox

Esca

peEX

470

Expe

ditio

nEx

plor

erF1

50F2

50Fi

esta

Fore

nza

Fors

ter

Fusi

onG

37S

Gra

nd C

arav

anG

rand

Che

roke

eG

rand

Mar

quis

eG

TRG

X470

Hyb

ridIm

palla

Ion

Jetta

Libe

rtyLu

cerin

eM

35X

Mag

num

Mal

ibu

Mat

rixM

axim

aM

DX

Mon

te C

arlo

Mon

tero

Mor

eno

Mus

tang

GT

Ode

ssy

Out

back

Pasa

ttPa

thfin

der

Pilo

tPr

ius

PT C

ruis

erPu

re C

oupe

Q5

Que

stR

AMR

AV 4

Rid

ge-li

neR

unne

rS2

000

S40

S60

Sabl

eSC

2Se

brin

gSe

ntra

Sent

rySi

enna

Sien

na X

LESo

nata

Sore

nto

Soul

Stra

tus

Subu

rban

Taco

ma

Taur

usTi

tan

TLTo

rren

tTr

ailb

laze

rTr

ans-

amTr

ibut

eTS

XTX

5Ve

nza

VUE

Wra

ngle

rX3 X5

XC80 XD

X-Ty

peYa

risYu

kon

XL

count

Collection 1

Type 46% of all of the

cars we saw in the parking were sedans

The type of car we saw least in the parking lot was a station wagon

Surprisingly there were more SUVs then there were coupes

20

40

60

80

100

Type

Cou

pe

Cro

ssov

er

Min

i-Van

Seda

n

Stat

ionw

agon

SUV

Truc

k

count

Collection 1 Bar Chart

Collection 1

RowSummary

TypeTypeTypeTypeTypeType

Crossover Mini-Van Sedan Stationw agon SUV Truck

Type

Coupe

260.12381

80.0380952

130.0619048

980.466667

70.0333333

510.242857

70.0333333

2101

S1 = countS2 = row proportion

Color From this graph

you can tell that the color that showed up the most in the mall parking lots was black

10

20

30

40

50

60

Color

Blac

k

Blu

e

Bro

wn

Gol

d

Gre

en

Gre

y

Mar

oon

Nav

y

Ora

nge

Red

Silv

er

Whi

te

Yello

w

count

Collection 1 Bar Chart

Custom License Plate

There weren't that many cars in the parking lot that had a custom license plate

Around 5% of the cars in the parking lot had a custom license plate and they weren't on any specific make or model

20

40

60

80

100

120

140

160

180

200

Custom_License_PlateNo Yes

count

Collection 1 Bar Chart Collection 1

Column Summary

No

Yes

Custom_License_Plate

1990.947619

110.052381

2101

S1 = countS2 = columnproportion

Engine Size

Most of the engines were 4 cylinder The min was a 3 cylinder and the max was a V8

10

20

30

40

50

60

70

80

90

Engine_Size0 2 4 6 8 10

Collection 1 Histogram Collection 1

Engine_Size

5.6238134668

2101.55794

0.1075080

S1 = meanS2 = minS3 = Q1S4 = medianS5 = Q3S6 = maxS7 = countS8 = stdDevS9 = stdErrorS10 = missing count

Country vs. Engine Size

Ho: Engine size is independent from the country that it was made in

Ha: Engine size is dependent from the country that it was made in

Test of Collection 1 Test for Independence

First attribute (categorical): Country

Second attribute (categorical): Engine_Size

RowSummary

Column Summary

Country

F

Country

A

4

6

8

Engine_Size

12 (24.4) 73 (60.6)

19 (22.1) 58 (54.9)

29 (13.5) 18 (33.5)

60 149

85

77

47

209

Vs.

Conditions Categorical Data? SRS? All expected cell

counts are greater than 5?

Yes The sample is

random Yes

Workdf=2

Chi-squared= 34.45

P(chi-squared>34.45)=0.0001

Conclusion We reject our Ho because our p-value

of .0001 is less that alpha of 0.05. We have sufficient evidence the engine

size does depend on what country the car was made in.

Test on SUV

Ho: p = 10%

Ha: p > 10%

Test of Collection 1 Test Proportion

Attribute (categorical): Type

Attribute: Type51 out of 209, or 0.244019, are SUV Alternative hypothesis: The population proportion for SUV is greater than 0.1 .

The test statistic, z, is 6.94.

If it w ere true that the population proportion of SUV w ere equal to 0.1 (the null hypothesis), and the sampling process w ere performed repeatedly, the probability of getting a z value this great or greater w ould be < 0.0001.

Note: This probability w as computed using the normal approximation.

Conditions SRS? np and nq > 10 Pop > 10n

The sample of the cars was random

12 and 38 > 10 All SUVs > 2090

Z=6.94

P (z>6.94) = .0001

Conclusion We reject our Ho because our p-value of

0.0001 is less than alpha of 0.05 We have sufficient evidence that there

was a greater percent of SUVs in the mall parking lot then the percent of SUVs in America.

Test on Toyota Ho: p =

12% Ha: p >

12%

Test of Collection 1 Test Proportion

Attribute (categorical): Make

Attribute: Make43 out of 209, or 0.205742, are Toyota Alternative hypothesis: The population proportion for Toyota is greater than 0.12 .

The test statistic, z, is 3.814.

If it w ere true that the population proportion of Toyota w ere equal to 0.12 (the null hypothesis), and the sampling process w ere performed repeatedly, the probability of getting a z value this great or greater w ould be < 0.0001.

Note: This probability w as computed using the normal approximation.

SRS? np and nq > 10 Pop > 10n

The sample of the cars was random

12 and 38 > 10 All Toyota > 450

Test

We reject our Ho because our p-value of 0.0001 is less than alpha of 0.05

We have sufficient evidence that the percent of Toyotas in the mall parking lot was greater then the percent of Toyotas in America.

Z=3.184

P(z>3.184) = 0.0001

Bias and Error We went to the mall on a holiday

weekend so some people that may frequently visit the mall may have been on vacation

We may not have gone every third car the whole time because some of the vehicles names are on the side of the car and we couldn’t get them.

The engine size was assumed based on the model, but the car could have gotten and engine swap and had a larger engine then assumed.

Personal Opinion We thought that the most popular cars

would be the Honda Accord, Civic, and the Toyota Camry

Bliss and Dan thought that the most popular color would be black, and Ryan thought the most color would be silver

We felt that there would be more sedans then anything else, and the most popular engine would be a 4 cylander

Conclusion We are able to conclude which color, make,

model, engine size, and type of car were most popular Color: Black Make: Toyota Model: Camry Engine Size: 4 Cylinder Type: Sedan

We noticed that different cars are driven to the mall on different days and different times of the day