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• Level: GCSE
• Subject: Maths
• Word count: 2483

# The factors that affect used car prices.

Extracts from this document...

Introduction

The factors that affect used car prices

Planning

In this experiment we are going to be collecting data in such a way so that it can show us which factors affect used car prices the most and also the least. To give us a vague idea of which were most popular amongst the general public each class member did a survey on every member of their household to see which factors of a car affect them most when purchasing such a vehicle. The results of which are shown below.

Age

Colour

Price

Make

## MPG

Air conditioning

Tax

MOT

5

29

3

13

22

9

11

1

1

6

1

7

3

2

5

4

=8

=8

As you can see from the table of results the most popular factor was age, however I believe that some of the data could be bias as the people giving the data may have been in a rush at the time or not have put much effort in.  In this experiment I am going to try and use as many varying data collection methods to try and get the best of the data that I am going to use.

Hypothesis 1

My first hypothesis is that the higher the first hand price is the higher the second hand price will be, I have recognised that this is quite an obvious hypothesis, however looking at this will

Middle

Lanos

11225

5999

46.5567929

3

Lower quartile=44

9

Renault

Megane

13175

6999

46.8766603

3

5

Nissan

Micra

7995

3999

49.9812383

3

Median=47

50

Daewoo

Lanos

9525

4395

53.8582677

3

62

Peugot

406LX

13975

5795

58.5330948

3

Upper quartile=53

52

Ford

Escort

12125

4295

64.5773196

3

Highest

Car

Make

Model

Price when

Price

Percentage

Age

Upper and lower quartile

Number

New

Second Hand

Depreciation

Boundaries

84

Vauxhall

Corsa

7840

4976

36.5306122

4

Lowest

10

Vauxhall

Tigra

13510

7499

44.4929682

4

91

Fiat

Punto

7518

3769

49.8669859

4

49

Daewoo

Nubira

13850

6895

50.2166065

4

51.5

15

Fiat

Punto

8601

3995

53.5519126

4

4

Vauxhall

Astra

14325

6595

53.9616056

4

81

Ford

Mondeo

17780

7995

55.0337458

4

median=54

57

Ford

Fiesta

8680

3200

63.1336406

4

6

Renault

Megane

13610

4999

63.2696547

4

12

Vauxhall

Vectra

18140

6499

64.1730981

4

64

58

Nissan

Almera

12590

4300

65.8459095

4

8

Rover

623 Gsi

22980

6999

69.5430809

4

Highest

Car

Make

Model

Price when

Price

Percentage

Age

Upper and lower quartile

number

New

Second Hand

depreciation

boundaries

92

Volkswagen

Polo

8710

4693

46.119403

5

lowest value

63

Volkswagen

Golf GTi

16139

6995

56.6577855

5

53

Ford

Escort

11800

4700

60.1694915

5

57

100

Vauxhall

Vectra

13435

4995

62.82099

5

11

Fiat

Bravo

10351

3495

66.2351464

5

median=64

96

Ford

Escort

15405

3995

74.0668614

5

60

Rover

620Si

17795

3400

80.8935094

5

75 .5

59

Rover

623GSi

24086

2975

87.6484265

5

highest

Car

Make

Model

Price when

Price

Percentage

Age

Upper and lower quartile

number

Conclusion

Hypothesis 3

For this hypothesis I had to take into consideration everything that I have found out during the experiment so far. I have discovered that all expensive cars have luxury facilities and practical facilities. Whereas cheaper cars only have practical facilities that are a necessities.  With this in mind I thought I would look at a luxury facility, as only an expensive car would have a luxury facility and therefore an expensive car new is an expensive car old as proven by our hypothesis 1.  so with all this in mind I have decided to look at which cars have air conditioning and which don’t.  As not only does this determine whether it’s an expensive car or not, but it also is a commodity that most people would love in their own car and therefore would push the buy every time. What I am going to do is use a cumulative frequency histogram for all the cars with air conditioning and without air conditioning. I will be using a cumulative frequency histogram so that I can determine the upper and lower quartiles and the mean on both.

Conclusion

And to conclude the experiment went very well and all things went according to my hypothesis.  And I feel there is much more that could be elaborated upon to push the experiment even further.

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