• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month
Page
  1. 1
    1
  2. 2
    2
  3. 3
    3
  4. 4
    4
  5. 5
    5
  6. 6
    6
  7. 7
    7
  8. 8
    8
  9. 9
    9
  10. 10
    10
  11. 11
    11
  12. 12
    12
  • Level: GCSE
  • Subject: Maths
  • Word count: 2128

I will research the cars by putting the data I have been given into statistical charts, graphs and tables to analyse them. I will use a scatter graph to firstly look at how age affects all cars depreciation

Extracts from this document...

Introduction

image20.jpgimage00.pngimage01.png

image09.png

image17.png

image18.png

Plan

This piece of coursework has asked me to look at the prices of used cars and what makes their prices decrease. I think that the most important thing to do is to work out the depreciation of all of the 100 cars. I will do this first because I think that this will make the cars more easily comparable and put them all into percentage form. I will work out depreciation by using this equation.

  • D= C  x100

O

  • D= Depreciation
  • C= Change in price
  • O= Original price

This is the equation to work out the depreciation of a car.

I will research the cars by putting the data I have been given into statistical charts, graphs and tables to analyse them.

I will use a scatter graph to firstly look at how age affects all cars depreciation. This will have either a line or curve of best fit. If it is a straight line I can work out the equation of the line. The equation for this is:

  • Y=M><+C
  • Y= Depreciation
  • M= The gradient of the line
  • ><= Age
  • C= Where the line intercepts the y-axis

This means I can approximately calculate the age of any car from only the depreciation and vice-versa.

From the line I can also create a box plot and read the lower and upper quartiles, the inter quartile range, the median and the range.

...read more.

Middle

blue

1.1

unleaded

40-58

Mileage

Service

Owners

Length of M.O.T

Tax

Insurance

Doors

Style

Central locking

43000

no

1

12

6

4

3

hatch

no

52000

no

2

12

4

4

3

hatch

yes

Seats

Gearbox

Air conditioning

Airbags

Depreciation

4

5

no

no

-87

4

5

no

no

-64

image06.png

Investigating technology of cars

Price when new

Used price

Age

Colour

Engine

Fuel

MPG

Mileage

Service

Owners

Length of M.O.T

7310

1050

8

blue

1.1

unleaded

45-62

90000

no

2

12

6795

1995

8

black

1.2

unleaded

41-61

47000

no

1

3

5715

1495

7

black

0.95

unleaded

50-62

50000

yes

2

4

7403

1495

9

red

1.2

unleaded

41-61

98000

no

3

5

6590

1664

10

red

1

unleaded

45-60

37000

no

3

12

...read more.

Conclusion

        The graph showing price against age was chosen as I found that this was the largest factor of depreciation on the cars. It indisputably shows that as age increases, the cars price decreases.

Summary

I have found that there are many different aspects which are factors in cars depreciation. The first and most obvious is the age. This, I found is the most important aspect coupled closely with mileage. All other factors are relevant but do not play as big a part. Anomalies occur such as some makes, e.g. Mercedes are renowned as good cars and are less likely to depreciate. Equally there are some car colours which go out of fashion and cause them to depreciate faster than others.

I also found that I was accurate with my prediction: there is a curving incline with depreciation and in the first 1-2 years it is at its highest rate before levelling out.

 I was wrong thinking that colour plays no part in depreciation, which I have now found does, as colours such as black or silver don’t depreciate as fast as other cars.

I think that if there were more cars then it would make the evidence more analysable but this amount is enough to get a general idea. I also think that the data could be unfair because for some makes there were only one or two cars which I could use. Because of this, I could not be certain that they were accurate for that make.

Daniel Pass        Page         118

[a]A pie chart

[b]a

...read more.

This student written piece of work is one of many that can be found in our GCSE Gary's (and other) Car Sales section.

Found what you're looking for?

  • Start learning 29% faster today
  • 150,000+ documents available
  • Just £6.99 a month

Not the one? Search for your essay title...
  • Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

See related essaysSee related essays

Related GCSE Gary's (and other) Car Sales essays

  1. Statistics: Factors Affecting the Price of Used Cars

    This is because the mileage will also affect the price. The standard deviation of the price for Audi is higher than the price standard deviation for BMW which shows it is more varied which could be because of the years.

  2. I have been given instructions to collect data for my GCSE statistics coursework and ...

    Renault 1.8 5999 Mitsubishi 2.3 6999 Rover 1.6 6999 Renault 1.4 7499 Vauxhall 1.4 3495 BMW 2.5 6499 Vauxhall 2.5 5995 Fiat 1.6 4995 Rover 1.2 3995 Mitsubishi 2 3795 Fiat 1.8 5999 Mitsubishi 0.9 1995 Fiat 1.6 3795 Rover 1.2 1795 Nissan To prove that the engine affects the

  1. Used Cards - find which factors will influence the price of a second hand ...

    During this investigation I am to focus on the age and the average percentage depreciation of the car, as I believe age is the main factor to car depreciation. I will use cluster sampling, in order to obtain my sample from the two car makes.

  2. Used second hand cars

    This valid evidence proves my prediction is not wrongly stated. I have plotted a Scatter graph for mileage against the second-hand price of the Ford cars. I have decided to do the graphs using Microsoft excel instead of a hand drawn one because this coursework mainly tests some one's ability to use ICT skills.

  1. Maths Coursework - Used Cars

    I now need to randomly select the 40 cars from the four makes. To do this, I will label the cars with their frequency, e.g. I will label the fords 1 to 16, and then I will use the RAN# on my calculator, which will show me a random number.

  2. I have been asked to investigate factors that affect the depreciation of cars.

    I then highlighted these two columns and copied them into chart 2. I then changed all the values to 2 significant figures, highlighted the two columns, and made a scattergraph using the computer. When I saw the graph, I noticed that some of the values formed a straight line across the top of the graph.

  1. My task for this coursework was to analyse the data given to me to ...

    I plotted them on a scatter graph to see if there was any correlation and I found out that there is a slight negative correlation between the %loss and the engine size, the bigger the engine the less money lost from the original price.

  2. Maths - statistical driving test

    Hypothesis one The more lessons a student takes the less mistakes they should make. Techniques to be used To investigate this hypothesis I will be using two techniques:- 1. Stratified sampling 2. Scatter graphs and correlation Expected outcomes The first thing I will do is pick a stratified sample I will then plot a scatter graph of lessons against mistakes.

  • Over 160,000 pieces
    of student written work
  • Annotated by
    experienced teachers
  • Ideas and feedback to
    improve your own work