final project bliss brannon, dan faulkner, ryan dickson
Post on 22-Dec-2015
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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
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
Acu
ra
Aud
i
BM
W
Bui
ck
Cad
illac
Che
vy
Chr
ysle
r
Dod
ge
For
d
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
Pon
tiac
Saa
b
Sat
urn
Sci
on
Sm
art
Sub
aru
Sub
uru
Suz
uki
Toy
ota
Vol
ksw
agon
Vol
vo
count
Collection 1 Bar Chart
Model
Model
3 6 75
93
300
325C
I328I
333C
I350Z
4R
unner
528I
535I
A4
Accent
Accord
Altim
aB
onneville
C280
C300
Caliber
Cam
aro
Cam
ry
Cellic
aC
harger
Cherokee
Civ
icC
obalt L
SC
olb
alt S
SC
om
mander
Cooper
Corolla
Cruis
er
CR
VC
X7
Deville
Dis
covery
Durango
E5360
Echo
Edge
Ela
ntr
aE
lem
ent
Envoy
Equin
ox
Escape
EX
470
Expeditio
nE
xplo
rer
F150
F250
Fie
sta
Forenza
Forste
rF
usio
nG
37S
Grand C
aravan
Grand C
herokee
Grand M
arquis
eG
TR
GX
470
Hybrid
Impalla
Ion
Jetta
Lib
erty
Lucerin
e
M35X
Magnum
Malibu
Matr
ixM
axim
aM
DX
Monte
Carlo
Monte
ro
Moreno
Musta
ng G
TO
dessy
Outb
ack
Pasatt
Path
finder
Pilot
Priu
sP
T C
ruis
er
Pure C
oupe
Q5
Quest
RA
M
RA
V 4
Rid
ge-line
Runner
S2000
S40
S60
Sable
SC
2S
ebrin
gS
entr
aS
entr
yS
ienna
Sie
nna X
LE
Sonata
Sorento
Soul
Str
atu
sS
uburban
Tacom
aT
aurus
Titan
TL
Torrent
Trailbla
zer
Trans-am
Trib
ute
TS
XT
X5
Venza
VU
EW
rangle
rX
3X
5X
C80
XD
X-T
ype
Yaris
Yukon X
L
count
Collection 1
2
4
6
8
10
12
14
16
Model
3 6 75
93
300
325C
I328I
333C
I350Z
4R
unner
528I
535I
A4
Accent
Accord
Altim
aB
onneville
C280
C300
Calib
er
Cam
aro
Cam
ryC
ellica
Charg
er
Chero
kee
Civ
icC
obalt L
SC
olb
alt S
SC
om
mander
Cooper
Coro
llaC
ruis
er
CR
VC
X7
Deville
Dis
covery
Dura
ngo
E5360
Echo
Edge
Ela
ntr
aE
lem
ent
Envoy
Equin
ox
Escape
EX
470
Expeditio
nE
xplo
rer
F150
F250
Fie
sta
Fore
nza
Fors
ter
Fusio
nG
37S
Gra
nd C
ara
van
Gra
nd C
hero
kee
Gra
nd M
arq
uis
eG
TR
GX
470
Hybrid
Impalla
Ion
Jetta
Lib
ert
yLucerine
M35X
Magnum
Malib
uM
atr
ixM
axim
aM
DX
Monte
Carlo
Monte
roM
ore
no
Musta
ng G
TO
dessy
Outb
ack
Pasatt
Path
finder
Pilo
tP
rius
PT
Cru
iser
Pure
Coupe
Q5
Quest
RA
MR
AV
4R
idge-lin
eR
unner
S2000
S40
S60
Sable
SC
2S
ebring
Sentr
aS
entr
yS
ienna
Sie
nna X
LE
Sonata
Sore
nto
Soul
Str
atu
sS
uburb
an
Tacom
aT
auru
sT
itan
TL
Torr
ent
Tra
ilbla
zer
Tra
ns-a
mT
ribute
TS
XT
X5
Venza
VU
EW
rangle
rX
3X
5X
C80
XD
X-T
ype
Yaris
Yukon X
L
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
Sed
an
Sta
tionw
agon
SU
V
Tru
ck
count
Collection 1 Bar Chart
Collection 1
RowSummary
TypeTypeTypeTypeTypeType
Crossover Mini-Van Sedan Stationw agon SUV Truck
Type
Coupe
26
0.12381
8
0.0380952
13
0.0619048
98
0.466667
7
0.0333333
51
0.242857
7
0.0333333
210
1
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
Blue
Brow
n
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_Plate
No Yes
count
Collection 1 Bar Chart Collection 1
Column Summary
No
Yes
Custom_License_Plate
199
0.947619
11
0.052381
210
1
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_Size
0 2 4 6 8 10
Collection 1 Histogram Collection 1
Engine_Size
5.62381
3
4
6
6
8
210
1.55794
0.107508
0
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
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
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