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• Level: GCSE
• Subject: Maths
• Word count: 1910

# My task for this piece of coursework is to statistically analyse the data for used car sales. I will use the information that was given to me, to investigate what influences the price of a second-hand car.

Extracts from this document...

Introduction

Amrish Vasdev 10.60E Maths GCSE Coursework - Used Car Sales Final Draft Introduction My task for this piece of coursework is to statistically analyse the data for used car sales. I will use the information that was given to me, to investigate what influences the price of a second-hand car. What influences the price of a second-hand car? Will it be the following? * Age of car: The age is likely to have a big factor on the second-hand price, because the car is likely to have been used more. The engine is likely to be in a weaker condition, resulting in the car becoming weaker. It is likely to have a lower second hand price if the car is older. * Model and make of car: The make and model of a car is likely to be another factor, because they could reveal the owner's personality. If the car is a famous model or make it is likely to have a higher second hand price. E.g. A Porsche can say that the owner is very wealthy and a Ford could say that the owner is reliable. * Mileage of car: The mileage says how many miles the car has been driven. If the mileage is high the car is likely to have been used up more, which means that the car may be in a weaker condition. If the mileage is low, the selling price is likely to be higher. ...read more.

Middle

I will investigate four cars of each engine capacity from 1.0 - 2.0 I will be also investigating the price when new, when second hand, and the percentage lost of the car's second-hand price. HYPOTHESIS 1 To start off my first hypothesis, I will draw a table to show what factors I will be investigating. I am investigating the first 25 cars of Appendix A, page 1 of 4, which are picked at random. Car Number Age Of Car (Years) Price When New (�) Price When Second Hand (�) Loss (%) 1 1 16000 7999 50 2 1 14425 10999 24 3 2 18580 7999 57 4 4 14325 6595 54 5 3 7995 3999 50 6 4 13610 4999 63 7 2 14875 5999 60 8 4 22980 6999 70 9 3 13175 6999 47 10 4 13510 7499 44 11 5 10351 3495 66 12 4 18140 6499 64 13 8 28210 5995 79 14 2 8900 4995 44 15 4 8601 3995 54 16 6 21586 3795 82 17 2 15800 5999 62 18 6 6009 1995 67 19 6 13586 3795 72 20 8 6295 1795 71 21 3 11225 5999 47 22 6 8595 2495 71 23 7 8785 1595 82 24 8 16000 7999 50 25 7 14425 10999 24 Now that I have done the table, I will now know where to plot the second hand prices and the age of the car on the scatter diagram. ...read more.

Conclusion

out of the other two. After I noticed those three exceptions, I had a look at the book, 'Parker's Prices', to see what the differences were between those three exceptions and the rest of the cars I investigated. I noticed that all the cars had a condition rating. The cars, which lost around 45% - 50% of its second-hand price, had a condition rating over 4 and a half stars out of 5. To find this out if the condition ratings were the cause, I added another column to the table and wrote down what the rating was of the condition of each car. The cars I investigated, which lost 50% - 70%, had a rating of 2 - 4 stars out of 5. This conclusion shows me that the engine capacity does not always affect the second-hand price of the cars. The condition of the car is also likely to affect the second-hand price, as cars in good condition are likely to attract a buyer. After completing my coursework, I have found out the following things after investigating two hypotheses. Hypothesis 1- * The older the car, the more percentage lost of the second hand-price. * Not all cars are affected by the age. They may be affected by different factors. Hypothesis 2 - * A car loses a certain amount of its value due to the engine capacity. (Around 50% - 70%) * If they lose less, it is likely to be because of the condition of the car. If the condition of the car is very good, then it is likely to lose less value of its second-hand price. ...read more.

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