some areas of error that we could have experienced that would have affected our data were…

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Our project is about the make, model, and style of cars in the Central Bucks parking lot and the parking lots of Regal 22 and the Montgomery Mall. We are also going to be looking at the makes of the cars, specifically if it is an import or an American made car.

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Our project is about the make, model, and style of cars in the Central Bucks parking lot and the parking lots of Regal 22 and the Montgomery Mall. We are also going to be looking at the makes of the cars, specifically if it is an import or an American made car . - PowerPoint PPT Presentation

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Page 1: Some areas of error that we could have experienced that would have affected our data were…

Our project is about the make, model, and style of cars in the Central Bucks parking lot and the parking lots of Regal 22 and the Montgomery Mall. We are also going to be looking at the makes of the cars, specifically if it is an import or an American made car.

Page 2: Some areas of error that we could have experienced that would have affected our data were…

-One of us will go to each parking lot and we will record every 3rd car. We will be writing down the make, model, and the style of each of those cars. Make being the car manufacturer, model being the actual car name, and style being if it is a SUV, truck, sedan, van, or coupe.

Page 3: Some areas of error that we could have experienced that would have affected our data were…

We will have a 1-sample Z-test for the makes of the cars. We will be looking to see if there are more imports (cars not made in the us) in the parking lots than Domestic cars. We will be making a 95% confidence interval with this. We will also be doing a chi squared test of the styles of the cars. We expect all the 5 styles to be the same. Our last test is a 2-sample Z-test comparing amount of SUVs in the CB South parking lots of the Regal 22 and the Montgomery Mall. We will also be making a 95% confidence interval with this.

Page 4: Some areas of error that we could have experienced that would have affected our data were…

Once we have gathered all of our data we will put it into a number of charts. From there we will break the charts down into different manufacturers, model and style. Each one of our charts will be separated into which parking lot the sample came from.

Page 5: Some areas of error that we could have experienced that would have affected our data were…

Some areas of error that we could have experienced that would have affected our data were…•Car meets going on •Time of day•Weather•Type of place surveying

Page 6: Some areas of error that we could have experienced that would have affected our data were…

•1769-the first self propelled car was built

•1801-first steam powered cars in Britain to transport passengers

•1858-first coal gas engine. Completed a 50 mile road trip

Page 7: Some areas of error that we could have experienced that would have affected our data were…

•1865-the first speed restrictions introduced in UK, 2 mph in towns

•1876-first successful and reliable four stroke engine

Page 8: Some areas of error that we could have experienced that would have affected our data were…

•1886-first vehicles driven using internal combustion engines developed

•1894-Grand Prix racing begins

•1896-first road traffic death in London

Page 9: Some areas of error that we could have experienced that would have affected our data were…

•1903-Ford motor company established, manufactured a model T in 93 minutes, 15 million manufactured

•1997-car manufacturers go green. Toyota builds first hybrid for public

Page 10: Some areas of error that we could have experienced that would have affected our data were…

36

93240325626635740

1500200 sx

a4a6

accordall road

aloraaltima

avalancheavalonbeetleblazer

bonevillecabrio

camarocamry

cavaliercelica

cherokeecivic

cobaltconcorde

coopercorolla

crvdakota

ecoelantraescape

expeditionf150

firebirdfocus

forresterfreestyle

frontierg6

grand amgrand caravan

grand cherokeegrand prix

h2highlander

ionis 300

jettalancerlegacyliberty

magnummalibumatrix

maximamdx

ml320monte carlo

muranomustang

neonoff roadoutbackpassat

pathfinderpilot

preludeprius

probeprotege

ram 1500rangerrav 4

rsxrx8s40s60s80

sablesanta fesebringsentrasequia

silveradosonata

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a v a la n c h ea v a lo nb e e t leb la z e r

b o n e v illec a b r io

c a m a r oc a m r y

c a v a lie rc e lic a

c h e r o k e ec iv ic

c o b a ltc o n c o r d e

c o o p e rc o r o lla

c r vd a k o ta

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g r a n d c h e r o k e eg r a n d p r ix

h 2h ig h la n d e r

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m a g n u mm a lib um a tr ix

m a x im am d x

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m u r a n om u s ta n g

n e o no ff r o a do u tb a c kp a s s a t

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p r e lu d ep r iu s

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CB South Parking Lot

Page 11: Some areas of error that we could have experienced that would have affected our data were…

Style

40% 80%

coup

e

seda

n

suv

truck

van

School Ribbon Chart

5

10

15

20

25

30

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acur

aau

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wca

dilla

cch

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chry

sler

dodg

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Make count

School Bar Chart

Page 12: Some areas of error that we could have experienced that would have affected our data were…

1 2 3 4 5 6

3 2 55 2 55 3 56 5 0

4 r u n n e ra 3a 4

a c c o r dc a m r y

c e n tu r yc iv ic

c o b a ltc o r o lla

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accordc amry

centuryc iv ic

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c rvcube

cutlass c ieraecho

es capeg6

grand amgrand caravan

grand cherokeegxs

impalaimpreza

is 250jetta

m35 xmalibu

marinerml 350

mountaineermountainerr

odyss eypac ifica

pasatpilot

rav4rdxriorsx

rx 350s40sx4

taurustl

touringtraverse

trooperventure

vue

Regal 22

Page 13: Some areas of error that we could have experienced that would have affected our data were…

Style_2

40% 80%coupe sedan suv van

Movies Ribbon Chart

4 8 12 16

acuraaudibmwbuick

cadillacchevy

chryslerdodge

fordhondainfinitiizuzujeepkia

lexusmercedes

mercurynissan

oldsmobilepontiacsaturn

subarusuzukitoyota

volkswagonvolvo

Make

count

Movies

Bar Chart

Page 14: Some areas of error that we could have experienced that would have affected our data were…

2

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232

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Model

Montgomery Mall

Page 15: Some areas of error that we could have experienced that would have affected our data were…

Style

20% 40% 60% 80% 100%

coup

e

seda

n

suv

truc

kva

n

Mall Ribbon Chart

510

15

20

25

30

35

40

a c u r aB M WB u ic k

C h e v yc h r y s le r

D o d g efo r d

G M CH o n d a

h y u n d a ija g u a rJ e e p

K IAL e x u s

m a z d am e r c e d e s

M e r c u r ym in i

N is s a np ly m o u th

p o n t ia cS a tu r nS u b a r uT o y o ta

v o lk s w a g o nv o lv o

Mak

e

Page 16: Some areas of error that we could have experienced that would have affected our data were…

2 Proportion z-test on Number of SUV’s in Central Bucks South Parking Lot compared to the

parking lots of the Montgomery Mall and the regal 22

Check State•2 independent SRS’s 1. 2 Systematic Random

Samples(independent)•n1 p̂1 ≥ 10 2. (43)(.339)= 14.577n 1(1-p̂2) ≥ 10 (43)(.661) = 28.423n2 p̂2 ≥ 10 (84)(.661)= 55.524n2(1- p̂2) ≥ 10 (84)(.339) = 28.476•Population1≥ 10(n1) 3. Population1 =430Population2 ≥ 10(n2) Population2 = 840

Page 17: Some areas of error that we could have experienced that would have affected our data were…

Ho: Pcbs= Pother

Ha: Pcbs < Pother

Z= = -5.145

P(z < -5.145) = 1.339x10 -7

We reject Ho because p-value is < .05.We have sufficient evidence that the number of SUV’s in the Central Bucks South Parking lot is less than the Montgomery Mall and the Regal 22.

Page 18: Some areas of error that we could have experienced that would have affected our data were…

Confidence Interval

(p̂1- p̂2) ± z* = (-.432, -.2064)

We are 95% confident that the differencebetween proportions of CB South and the

other parking lots is between -.4392 and -.2064.

Page 19: Some areas of error that we could have experienced that would have affected our data were…

Chi2 Goodness of fit test on the style of carsState CheckSRS

1. Systematic random SampleAll counts (expected) ≥ 5 2. 92.8 ≥ 5

Ho: The observed frequency distribution of styles of cars fits the expected frequency distribution.Ha: The observed frequency distribution of styles of cars does not fit the expected frequency distribution.

Trucks Sedans SUV’s Vans Coupes

92.8 92.8 92.8 92.8 92.8

Trucks Sedans SUV’s Vans Coupes

17 234 127 19 65

Expected

X2 = ∑ = + +…= 356.379

P=(x2 > 356.379|df=4) = 7.35x10-76

We reject Ho because p-value is < .05.We have sufficient evidence that the observed frequency distribution of styles of cars does not fit the expected frequency distribution

Observed

Page 20: Some areas of error that we could have experienced that would have affected our data were…

Our Thoughts

We thought that there would be more imports than domestic cars

We also thought that there would not be an equal amount of all different styles of cars

We lastly thought that there would be more SUVs outside of the CB South parking lot

Page 21: Some areas of error that we could have experienced that would have affected our data were…

THE MOST POPULARCAR IN

AMERICA IS…

Page 22: Some areas of error that we could have experienced that would have affected our data were…

THE MOST POPULARCAR IN

AMERICA Really IS…

Page 23: Some areas of error that we could have experienced that would have affected our data were…
Page 24: Some areas of error that we could have experienced that would have affected our data were…

WHATS THAT CAR?

Page 25: Some areas of error that we could have experienced that would have affected our data were…

EASY

NAME THE MANUFACTURE

R

Page 26: Some areas of error that we could have experienced that would have affected our data were…
Page 27: Some areas of error that we could have experienced that would have affected our data were…
Page 28: Some areas of error that we could have experienced that would have affected our data were…
Page 29: Some areas of error that we could have experienced that would have affected our data were…
Page 30: Some areas of error that we could have experienced that would have affected our data were…
Page 31: Some areas of error that we could have experienced that would have affected our data were…
Page 32: Some areas of error that we could have experienced that would have affected our data were…

HARD

Name the manufacturer who makes this model

car

Page 33: Some areas of error that we could have experienced that would have affected our data were…

545i

Page 34: Some areas of error that we could have experienced that would have affected our data were…

A6

Page 35: Some areas of error that we could have experienced that would have affected our data were…

Highlander

Page 36: Some areas of error that we could have experienced that would have affected our data were…

Civic

Page 37: Some areas of error that we could have experienced that would have affected our data were…

Mustang

Page 38: Some areas of error that we could have experienced that would have affected our data were…

Town and Country

Page 39: Some areas of error that we could have experienced that would have affected our data were…

350 Z

Page 40: Some areas of error that we could have experienced that would have affected our data were…

Camaro