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• Level: GCSE
• Subject: Maths
• Word count: 1928

# Investigation of factors that effect the price of a car.

Extracts from this document...

Introduction

Investigation of factors that effect the price of a car

Introduction:

For this investigation I will be using the data to investigate what factors influence the price of a second handed car.  To do this first I will specify clearly what I am going to do and why I am going to carry out the investigation this way.  Then I will collate the data that I need and represent it in a way that helps me to develop my investigation.  Finally I will interpret my results and draw conclusions from them.  I’ll be using tally, Bar charts, cumulative frequencies, frequency charts, scatter graphs and Pie charts.

Planning:

First I shall provide the data all the cars that will show Price Vs Mileage, Price Vs Age, car ownership and number of cars per model.  After that I will pick out the top 3 cars which reappear the most in the charts and graphs.  After that I will examine the Price Vs Mileage, Price Vs Age of those 3 selected cars.  I will then see what factors or what qualities do these cars have which are affecting there price and popularity for e.g. Mercedes may not be owned by that many people because it is a prestige car and has all the qualities, it still holds its price.

Middle

According to this Scatter Graph and Tally chart the Rover cars get more older while there value keeps on dropping down as well which means that the more the age increases the more the price decreases. To prove this according to the Scatter graph we see a decrease of the price from 14999 to 1700 which is a decrease of 13299 whereas the age increases from 1 to 8 which is a increase of 7 years. The reason why I thought this was because once the car gets older its value automatically decreases.  These same reasons also apply to the 5 cars above the trend line.

Vauxhall

According to this Scatter Graph and Tally chart the Vauxhall cars get more older while there value keeps on dropping down as well which means that the more the age increases the more the price decreases. To prove this according to the Scatter graph we see a decrease of the price from 7999 to 850 which is a decrease of 7149 whereas the age increases from 2 to 10 which is a increase of 8 years. The reason why I thought this was the reason was because once the car gets older its value automatically decreases. Again these same reasons apply to the 4 cars above the trend line.

Price Vs Mileage: Graphs

Ford

Conclusion

0

11

8000 > 9001

0

11

9000 > 10001

0

11

10000 > 11001

0

11

11000 > 12001

0

11

12000 > 13001

0

11

13000 > 14001

0

11

14000 > 15001

1

12

## Vauxhall

 Price (Second Hand Car) Frequency Cumulative Frequency 0 > 1001 1 1 1000 > 2001 0 1 2000 > 3001 1 2 3000 > 4001 2 4 4000 > 5001 4 8 5000 > 6001 0 8 6000 > 7001 3 11 7000 > 8001 2 13 8000 > 9001 0 13

Age Frequency Table:

Ford

 Age Frequency Cumulative Frequency 0 > 2 1 1 1 > 3 1 2 2 > 4 2 4 3 > 5 2 6 4 > 6 2 8 5 > 7 1 9 6 > 8 4 13 7 > 9 1 14 8 > 10 0 14 9 > 11 1 15 10 > 12 1 16

Rover

 Age Frequency Cumulative Frequency 0 > 2 1 1 1 > 3 0 1 2 > 4 0 1 3 > 5 1 2 4 > 6 2 4 5 > 7 5 9 6 > 8 2 11 7 > 9 1 12

Vauxhall

 Age Frequency Cumulative Frequency 0 > 2 0 0 1 > 3 3 3 2 > 4 0 3 3 > 5 4 7 4 > 6 1 8 5 > 7 4 12 6 > 8 0 12 7 > 9 0 12 8 > 10 0 12 9 > 11 1 13

Mileage Frequency Table:

Ford

 Mileage Frequency Cumulative Frequency 0 > 5001 0 0 5000 > 10001 2 2 10000 > 15001 0 2 15000 > 20001 0 2 20000 > 25001 0 2 25000 > 30001 2 4 30000 > 35001 3 7 35000 > 40001 1 8 40000 > 45001 1 9 45000 > 50001 0 9 50000 > 55001 0 9 55000 > 60001 2 11 60000 > 65001 2 13 65000 > 70001 1 14 70000 > 75001 1 15 75000 > 80001 0 15 80000 > 85001 0 15 85000 > 90001 1 16

Rover

 Mileage Frequency Cumulative Frequency 0 > 10001 1 1 10000 > 20001 0 1 20000 > 30001 1 2 30000 > 40001 1 3 40000 > 50001 2 5 50000 > 60001 3 8 60000 > 70001 2 10 70000 > 80001 0 10 80000 > 90001 0 10 90000 > 100001 2 12

Vauxhall

 Mileage Frequency Cumulative Frequency 0 > 10001 0 0 10000 > 20001 1 1 20000 > 30001 4 5 30000 > 40001 0 5 40000 > 50001 2 7 50000 > 60001 3 10 60000 > 70001 1 11 70000 > 80001 2 13

Conclusion:

After looking at the data I can confidently say that I have met my aim and have carried out my investigation in a sensible and suitable manner.  I have represented the data I have collected in graphs to make them easier to read.

For my investigation I can say that from the data I have arranged that the popularity of a car is not only affected by the price, mileage and age, it is also affected by the services.  The standard facilities and the safety aspects are part of the services that affect the price of a car.  The reason why some of the cars are still bought even with a high mileage is because they are prestige.  This means that they still have values because they have a good reputation and quality.

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