• 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
  13. 13
    13
  • Level: GCSE
  • Subject: Maths
  • Word count: 3272

CAR SALES MATHS COURSEWORK

Extracts from this document...

Introduction

INDERPAL JUTLEY MATHS CAR SALES COURSEWORK

CAR SALES MATHS COURSEWORK

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.

Middle

42000

2

36

Peugeot

5100

750

11

96000

1

HYPOTHESIS

  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.

PLAN OF ACTION

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.

GRAPHS

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.  

image00.png

ANALYSIS OF GRAPH

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.

Conclusion

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. 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.

  2. Gary's Car Sales Mathematics Coursework

    The price of a new Rover would be �5,800 and would be worth nothing when it is 12.6 years old Using the line of best fit I have worked out the gradient: 900 / 2 = 450 Therefore �450 is lost each year on a Rover car.

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

    1190 12000 -4780.5 -22530 22853180.25 507600900 107704665 1155 10000 -4815.5 -24530 23189040.25 601720900 118124215 1810 6000 -4160.5 -28530 17309760.25 813960900 118699065 12825 68000 6854.5 33470 46984170.25 1120240900 229420115 3585 20000 -2385.5 -14530 5690610.25 211120900 34661315 1620 55000 -4350.5 20470 18926850.25 419020900 -89054735 1920 71000 -4050.5 36470 16406550.25 1330060900 -147721735 4915

  2. GCSE statistics coursework

    This may belong to a person who does not like driving a lot. The cars with the most mileage would also bring the second hand price down and will be decreased. Whereas the Vauxhalls that will have a lower mileage will have a higher second hand price rate than the Fiats and the fords.

  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. Used second hand cars

    n is the number of items of data. ? is Spearman's coefficient of rank correlation. The value of ? will always be between -1 and +1. -1 0 +1 ranking in weak negative no Weak positive same ranking reverse order correlation correlation correlation strong positive strong negative correlation correlation The

  1. Maths Coursework - Used Cars

    The car make with the smallest Interquartile range is Rover. This tells us that 50% of Rover cars are between the �2120 to �3768 regions. Even though Rover has the largest spread, it also has the smallest Interquartile range. This means that the cars in the other 50% are outside

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

    accidentally biased, and were not representative of the original data, or the original data itself had contained a difference in the average ages of petrol and diesel cars. In order to determine which of these it was, I drew two more varying width histograms, but this time I used all of the cars in the original data.

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