• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10
  11. 11
  12. 12
  13. 13
  • Level: GCSE
  • Subject: Maths
  • Word count: 3272


Extracts from this document...




For my maths/statistics coursework I am to analyse a set of data given to me. The purpose of this investigation is to distinguish any possible correlation between certain variables. Furthermore, I must determine what factors affect the price of a car. From my data I am looking at particular variables as I feel these variables will the most subsequent to the price. The variables I am going to investigate are as follows:

  • The age of the cars.
  • The mileage of cars.
  • The engine size.
  • The makes.
  • The cost of the car when new
  • The second price.

Initially, I am going to find any obvious links between the above variables. Moreover after finding the link’s I will develop the data in an attempt to locate the influential links that affect the price of the car. To assist me in doing this I am going to draw graphs and obtain conclusions that will lead me on to finding a general formula.

Out of the data given to me I have used the random function on my calculator to generate random number with which I was able to collect the cars I hope to analyse. Out of 100 cars I have chosen 36. I feel that 36 are a sufficient number to get the best possible conclusion.

...read more.












  1. Out of all the variables I have chosen to investigate I think that the age and mileage will have the best correlation. I believe that as the age goes up so will the mileage.
  2.  Furthermore, I feel that as the mileage increases the price of the car will decrease. The more the mileage the less the price.
  3. I believe out of all the variables engine size will not provide me with a strong conclusion. In contrast I feel that the make will decide the price of a car to a certain extent.


Firstly, I am going to plot graphs variables I have chosen to investigate. I will also use standard deviation and rank correlation coefficient to give me an idea if the correlation between certain aspects of my data. I will also use other statistical methods such as mean median quartiles box plots etc.


To begin with, I am going to evaluate the price of all 36 cars with their age and mileage. Using my own knowledge I speculate that age and mileage should have an obviously correlation, thus making the price of the car cheaper.  



From the above graph it is clearly noticeable that as the car gets older price goes down. Thus representing the fact that a new car depreciates at a faster rate than an older car. For example, a new car that is about a year old must depreciate at an excessive rate than that of a 10-year-old car. Furthermore, suggesting that as the age goes up the price depreciates less.

...read more.


image02.png. If you plot a graph for %depreciation and age and substitute in the values you should end up with a average formula that should fit all brands. I felt that I needed to focus more on this part of the project that would enable me to come up with a formula that could fit certain or all brands. I think that there were sum mistakes in the data that led to some unexpected correlation. In conclusion I felt that the most contributing factors were age and mileage because they played a huge part in my data and showed a close relationship. As the mileage increased so did the age.

...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. used car coursework

    time the engine size increases by 1 the used car price will increase by �3967.90. The intercept of the line is -2476.1 and this tells us that if the mileage is 0 then the used car price will be -�2476.1.

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

    Above is another graph showing the prices second hand and new for 5 random cars which are of an equal class. As you can now see, the new prices are now more than doubled, which has helped me prove my hypothesis that the make does effect the price.

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

    (y-Y) (x-X)2 (y-Y)2 (x-X)(y-Y) 11395 12000 5424.5 -22530 29425200.25 507600900 -122213985 2970 50000 -3000.5 15470 9003000.25 239320900 -46417735 860 28000 -5110.5 -6530 26117210.25 42640900 33371565 1885 51000 -4085.5 16470 16691310.25 271260900 -67288185 2090 10000 -3880.5 -24530 15058280.25 601720900 95188665

  2. Maths - statistical driving test

    F 40 19 D F 30 25 D F 11 36 D M 40 4 D M 29 25 D M 38 10 D F 31 24 D F 24 28 D Graph 3 - everyone Graph 4 Conclusion for graph 3 Graph 3 shows a scatter graph of lessons against mistakes for the whole population.

  1. Handling data Used car prices

    This shows that age seems to have more of an effect on the value of depreciation. This may be due to the fact that the mileage can be changed. Many second-hand car dealers reduce the mileage of the car and sell it for a slightly higher price.

  2. T-Total Maths

    46 20 57 Numbers inside T shape 16 1 2 3 9 17 2 3 4 10 18 3 4 5 11 19 4 5 6 12 20 5 6 7 13 5 X 16 = 80 - 39 = 49 FORMUAL =5N - 49 GIRD-8 1 2 3 4

  1. Car sales

    If I find any anomalies, I will leave them in, but consider their effect during and in the evaluation and conclusion of my work. All of my graphs and charts will have a line of best fit, to show very clearly the coloration of the graph or chart.

  2. Legal and Ethical Analysis of Ford Pinto

    short fuel tank filler pipe could easily pull away from the tank in an accident" (26). Ford management countered that in a 1974 investigation, NHTSA had determined that no action concerning Pinto fuel system integrity was necessary (27). In February 1978, a California jury handed down a verdict that assessed

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