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• Level: GCSE
• Subject: Maths
• Word count: 2811

# Data Handling Coursework

Extracts from this document...

Introduction

Maths: Data Handling Coursework

Data Handling Coursework

Maths

Aim: To find out what factors affect the car prices and show how these factors affect it.

Introduction: In this investigation I aim to find out the main factors which affect the price of a car. I also aim to find out if there is only one factor or a combination of factors affecting the price of the cars. Firstly I will decide which method I am going to use and which line of enquiry would provide me with the best results. I will include in my investigation all of my explanations, details, tests and theories. I will be using 39 cars either five or six from each make, depending on the availability of the cars for each make. To show my results clearly and make them easy to understand I will be recording my data in tables and expressing the results in various scatter graphs, box and whisker diagrams and cumulative frequency diagrams. The reason for which I am expressing my results in a series of ways is because I will then be able to interpret them easier and so draw conclusions.

Hypothesis: As the age of the car increases the percentage depreciation in the price will also increase, meaning that the price of the car will decrease.

Middle

Volkswagen

12,047

Peugeot

12,048

Honda

12,895

Rover

14,678

Vauxhall

14,691

Mitsubishi

15,338

Mercedes

19,588

Porsche

32,995

Rolls Royce

94,651

BMW

99,526

Bentley

170,841

The table on the left shows the cost of the average car from a make, according to my sample. As you can see ford is the least expensive of the makes as average price of its car is only £6,864. Where as Bentley is the most expensive with its average car coming up to £170.841. I am aware that these figures are not a real representative of these companies in general but these figures are a true representative of all the cars which I choose to investigate, making the figures very useful and important as they show the amazing difference in the make and price of a car, proving that Make is one of the factors that affect the price of a car.

Interpretation of Graph: Looking at the graph you can clearly see that the makes have a major affect on the price of most cars. So by looking at the graph you can see that one of the major factors which influence the price of a car is its make.

 Price Price % Depreciation Make when new second hand Age (2.d.p) Honda 12895 7995 1 38 Mercedes 14425 10999 1 23.75 Peugeot 17490 7500 1 57.12 Peugeot 9125 7500 1 17.81 Ford 1600 7999 1 50 Volkswagen 14950 13500 1 9.7 Volkswagen 9960 7550 1 24.2 BMW 28210 5995 2 78.75 Mitsubishi 14875 5999 2 59.67 Mitsubishi 15800 5999 2 62.03 Mercedes 17915 11750 2 34.41 Mercedes 26425 17500 2 33.77 Vauxhall 8900 4995 2 43.88 Vauxhall 18580 7999 2 56.95 Renault 13175 6999 3 46.88 Peugeot 13975 5795 3 58.53 Renault 13610 4999 4 63.27 Rover 22980 6999 4 69.54 Vauxhall 18140 6499 4 64.17 Vauxhall 13510 7499 4 44.49 Vauxhall 14325 6595 4 53.96 Volkswagen 16139 6995 5 56.66 Volkswagen 8710 4693 5 46.12 Porsche 32995 19450 6 40.92 BMW 13650 6995 6 48.75 Rover 8595 2495 6 70.97 Rover 13586 3795 6 72.07 Rover 21586 3795 6 82.42 Volkswagen 12999 3595 6 72.34 Ford 8748 1995 7 77.19 Ford 8785 1595 7 81.84 Rover 6645 895 7 86.53 Volkswagen 9524 3695 7 61.2 Bentley 170841 37995 8 77.76

Conclusion

Conclusion

As a result of this investigation I now know that the two main factors that affect the average depreciation of a car, in other words the two main factors which affect the cars prices are Age and Make. I have proved this in my investigation with the use of several diagrams, tables and results that back up my claims. Thus my predictions and hypothesis’s were correct and one of the first things I found out was that the age of the age affects the percentage depreciation, the older the car is the more it will depreciate by. This was supported by my scatter graph which showed a strong positive correlation between age and increase in percentage depreciation.

Overall I think that my investigation was pretty successful because of the results I obtained and also due to the fact that my hypothesis and predictions were proven correct. Although I do think that there are a few things I could have improved on for example I could have gone out and collected my own sample of second hand and new cars, I could have had an equal amount of expensive, medium and less-expensive makes making my investigation more accurate. I could have also investigated other factors such as the mileage and come up with a more in depth result of the factors which affect a cars price and why…

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