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# GCSE: Gary's (and other) Car Sales

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1. ## GCSE Maths questions

• Develop your confidence and skills in GCSE Maths using our free interactive questions with teacher feedback to guide you at every stage.
• Level: GCSE
• Questions: 75
2. ## Used Cards - find which factors will influence the price of a second hand car and in what way

* What is my population? * What data do I need to collect? * What sampling method am I going to use? * How large a sample do I need? * What method of data collection am I going to use? * How am I going to record the data I collect? As secondary data was provided from the Edexcel website, I used that data to my advantage and then began with my simple hypothesis. Factors Elaborated / Example Hypotheses Age: The older the car, the cheaper it is, however this may not apply effectively when comparing prestigious cars to standard cars.

• Word count: 8351
3. ## Handling data Used car prices

Firstly I will group the data that I have into different age groups. This stratified sample will produce a representative sample so then random numbers can then be used to generate cars from each group in numbers proportional to their numbers in the whole set. This is because there are likely to be fewer cars as the number of years increase. By doing a stratified sample for this particular situation there is no chance of bias towards a particular age group as each group will be fairly represented.

• Word count: 3996
4. ## T-Total Maths

Numbers inside T shape 14 1 2 3 8 15 2 3 4 9 16 3 4 5 10 17 4 5 6 11 5 X 14 = 70 - 28 = 42 FORMULA = 5N - 42 GRID 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 39 40 41 42 43 43 44 45 46 47 48 49 T NUMBER T TOTAL 16 31 17 36 18 41 19

• Word count: 3452
5. ## used car coursework

So I can get a good representation of the complete population. The main reason why I used sampling was as it reduces the time taken to process. Scatter diagram work Mileage Age Used car price Engine size 1 7000 1 7999 1.8 2 68000 7 1595 1.3 3 60000 7 1995 1.1 4 64000 7 2300 1.4 5 29000 3 4295 1.4 6 34000 5 4700 1.8 7 27000 4 3200 1.8 8 43000 7 3495 1.8 9 37000 10 1664 1 10 57000 5 3995 1.8 11 64000 6 2995 1.3 This table shows the 11 Ford cars out of 16 which were selected through stratified sampling.

• Word count: 4114
6. ## Statistics: Factors Affecting the Price of Used Cars

With the data, I am going to analyse and investigate any possible correlations between them and the other factors. I am going to take the factors I have chosen and form different hypotheses and investigate them to see if there is any correlation between them. Hypotheses: 1) As the mileage increases, the price of the car decreases. 2) As the age increases, the price decreases. Method I am going to take a sample of 40 cars to carry out my investigation. I think the data of 40 cars is enough to represent the population because if there is a general trend, my sample for my investigation will show it.

• Word count: 3106
7. ## Legal and Ethical Analysis of Ford Pinto

According to the auto executives, the auto industry now had to answer to many more people than just auto buyers and the multitude of often conflicting regulations had placed unreasonable burdens on domestic automakers (10). Ford has had a checkered past with the government. The National Highway Traffic Safety Administration (NHTSA), a regulatory agency in the Department of Transpiration, had investigated Pinto's engine fires and fuel-line hose construction problems, which eventually led to a recall by Ford (11). In 1973 Ford was fined \$7 million by the Environmental Protection Agency (EPA), a regulatory agency reporting directly to the US president, for unauthorized tempering of an emission test.

• Word count: 3910
8. ## Used second hand cars

Also they would be more damage done to it been repaired several times. *MILEAGE: - Higher the mileage of the car, lower the car's second hand price. People would normally likes to buy cars with less mileage as it would not have gone through much wear and tear, so a low mileage of the car indicates towards its high price. *MAKE: - The better the make the higher the car's second hand value. I believe this is because different types of cars have unique characteristic which differ from one another.

• Word count: 8793
9. ## Maths Coursework - Used Cars

Instead, I will use 40 cars because then it will be an easier amount of cars to work with and the investigation will remain fair. To choose which cars will be included in my sample of 40, I have arranged the cars in order of frequency: Make Frequency Ford 16 Vauxhall 13 Rover 12 Fiat 10 Volkswagen 7 Nissan 6 Peugeot 5 Renault 5 Citroen 3 Daewoo 3 Mercedes 3 BMW 2 Hyundai 2 Mitsubishi 2 Audi 1 Bentley 1 Honda 1 Landrover 1 Lexus 1 Mazda 1 Porsche 1 Rolls Royce 1 Seat 1 Suzuki 1 Toyota 1 As you can see out of the 100 cars, the majority are Ford, Vauxhall, Rover and Fiat.

• Word count: 4010
10. ## Factors affecting price of Used Car

For each of them I will find the most popular colour and car make. I will record my results in a tally table and a frequency table so that I can easily spot the most popular ones. I will then use the 4 most popular car makes from the tally chart of all of the cars as my independent variable this is because the thing that people look at first when they are buying a car is the make and I believe this will affect the second hand price the most. Certain cars have a very good reputation of being reliable over others.

• Word count: 6939
11. ## Maths coursework - car prices

the second factor I have consider is mileage because I believe that mileage depending on how much a car has travelled can affect the condition of the used cars with its price because when the car has travelled over 50,000 miles the parts of the car will deteriorate because the car parts start to be worn out so I think that the more mileage done on the car the less the price is. Sampling Out of the 204 samples I have chosen 110 samples because I believe that it will give more evidence to my hypothesis because the more the

• Word count: 5734
12. ## CAR SALES MATHS COURSEWORK

5995 795 7 45000 0.9 14 Rover 9565 1700 8 55000 1.4 15 Ford 7310 1050 8 90000 1.1 16 Fiat 10423 1295 6 81000 1.6 17 BMW 13650 6995 6 71000 1.8 18 Ford 8748 1995 7 60000 1.1 19 Nissan 7799 2595 7 41000 1.4 20 Bentley 170841 37995 8 55000 2 21 Peugeot 17490 7500 1 17500 2 22 Mercedes 26425 17500 2 22000 2 23 Ford 13183 3495 7 43000 1.8 24 Mazda 10420 2495 7 50000 1.3 25 Vauxhall 9990 3250 7 86000 1.6 26 Vauxhall 11150 5650 3 34000 1.6 27 Ford 13800 3995

• Word count: 3272
13. ## Mathematics course work

I have listed the ages of the cars in order of size. 2, 4, 7, 9, 10, Leaf Stem Frequency 1 0,1 2 0 7,4,2 3 Key: 1 0 this means the age of 10 The mean age of these 5 BMW's is: 2 + 4 + 7 + 10 + 11 = 34 34 / 5 = 6.8 or 7 The mean age for these 5 BMW's is 7. There are no model values for these cars because there are no common ages but there is a median age.

• Word count: 5138
14. ## Ford Motor Company

This has reduced their fixed costs dramatically and allowed these firms to sell their cars at much cheaper rates and gain market share. Developing new platforms requires serious investment not just in financial terms, but also in time. The "big three" are several years behind the new competition and because of this, American automotive research firm Iceology estimate the market share of the "big three" could fall from 60.2% in 2003 to 56.5% by 2006 (Business Week, 3867, 76). 2 CURRENT POSITION 2.1 Competitive Position Recently Ford celebrated its centenary in style, with extravagant events worldwide to mark the occasion.

• Word count: 4026
15. ## Ford Motor Company

CEO Jacques Nasser led Ford away from their core business and despite replacing him in 2001, the combined effects of his reign and the economic downturn took their toll and the share price tumbled from a high of \$32.15 in 1999 down to \$9.94 in 2003. The appendix contains a SWOT framework based on Ford and identifies some key points for discussion. The majority of their strengths focus on their heritage or their reputation, rather than material or financial strengths, such as efficient manufacturing.

• Word count: 3555
16. ## The aim of this investigation is to find out what influences the price of second hand cars.

To see how they all affect the price of a second hand car. This is to give me better and more accurate results. I would also like to use all the data of cars, however this is not possible because some the data is missing from some cars. Therefore to avoid this problem, I am going to use the selection of cars that contain complete data. I am doing this to avoid being bias. Additionally, I am going to present my findings in a table form, using graphs such as: Bar charts, Dual bar charts, scatter diagrams, cumulative frequency graph, box plot/whisker diagram.

• Word count: 8022
17. ## Math Coursework- Used car prices

For the Mercedes AvantGarde, it lost its values the most in only 2 years of age and 17,000 mileage, not big differences compare with Mercedes A140. From this I can learn that the age and mileage can determine the second hand price dramatically. To prove that the age and mileage affects dramatically the second hand price, I will investigate the age and mileage of another make to prove this. I'm using Vauxhall as they have quite a lot of cars with different models, the number of Vauxhall cars is more than no.

• Word count: 3064
18. ## The aim of this coursework is to find out what affects the price of a second hand car.

The sample will be taken from either car magazines or from actual garages. I will choose to use only certain parts of the information, and I will represent the data in graphs such as scatter graphs, bar charts, and histograms. Once I have represented the data using graphs, I will then analyse it to see if there is any kind of relationship between the variables used, (i.e. mileage and value when sold, or, colour and value when brand new, etc...), this will help me to distinguish which factors affect the price of a second hand car.

• Word count: 3699
19. ## Gary's Car Sales.

1 Rover �7,300.00 11000 1.1 24 �4,800.00 1 Rover �7,300.00 26000 1.1 25 �2,700.00 5 Fiat �13,000.00 51000 2.0 26 �11,000.00 1 Peugeot �13,800.00 9000 1.8 27 �2,800.00 5 Fiat �6,500.00 43000 1.0 28 �8,000.00 4 Rover �21,000.00 142000 2.3 29 �6,495.00 2 Ford �8,800.00 23000 1.3 30 �4,050.00 4 Ford �8,400.00 48000 1.3 31 �6,300.00 2 Ford �10,300.00 26000 1.3 32 �4,100.00 4 Vauxhall �8,900.00 37000 1.3 33 �6,600.00 1 Vauxhall �8,500.00 9000 1.3 34 �7,800.00 1 Peugeot �10,500.00 13000 1.4 35 �8,700.00 3 Vauxhall �16,000.00 42000 2.0 36 �2,000.00 7 Peugeot �8,300.00 65000 1.4 Investigation Representing the information

• Word count: 3225
20. ## Analyse a given set of data concerning used car sales and investigate the relationship that particular variables have with each other ones.

and big enough to provide a wide range of contrasting results. I chose the cars by use of the random sample button on my calculator. After deleting any repeated results and continuing until I had 36 different cars I came up with the table shown below. Car Make Model Price when Price Age Colour Engine Fuel MPG Mileage Service Owners number New Second Hand Size History 1 Mercedes A140 Classic 14425 10999 1 red 1.4 unleaded 29-50 14000 yes 1 2 Vauxhall Vectra 18580 7999 2 white 2.5 unleaded 26-44 20000 yes 1 3 Vauxhall Astra 14325 6595 4 black 1.6 unleaded 32-52 30000 no 2 4 Nissan Micra 7995 3999

• Word count: 3719
21. ## Investigation into the factors, which affect the value of automobiles.

New Second Hand Size MG ZR 11000 6275 2 1.4 144 Alfa Romeo 166 �25 000 �7,995 2 2 41 000 audi se automatic 22000 14999 2 2 40000 Audi 80 17683 3995 7 1.9 103000 Audi TT �24 050 �21 750 2 1.8 14 000 Bentley TurboR 170841 37995 8 2 55000 bmw 330 diesel 32000 20000 3 3.3 22000 BMW 525i SE 28210 5995 8 2.5 55000 BMW 316i 13650 6995 6 1.8 71000 citroen Xsara Forte �10,000 �5,995 3 1.4 12408 citroen Xsara Lx �10,700 �5,995 3 1.4 15531 citroen c5 15430 6910 3 1.8 20000 Citroen

• Word count: 7116
22. ## Show that certain aspects of cars can determine the price of a second hand car.

The statistical techniques that I am going to use are going to be cumulative frequency graphs and tally charts. These calculations will be enabling me to work out many things, for example the depreciation. I will also be able to notice things as I look at the graphs when I have plotted them. On the next page is a copy of the database that was issued to us. I will only be using the first section of 100 cars as I think that the relevant information that I will require for this investigation is only mentioned in the first section.

• Word count: 5007
23. ## Used car prices.

1295 6 81000 1.6 35 Ford Fiesta 7875 1495 11 74000 1.8 36 Hyundai Sonnata 11598 1195 9 65000 2 37 Renault Clio 6795 1995 8 47000 1.2 38 Citroen Debut 5715 1495 7 50000 0.95 39 Renault Clio 7403 1495 9 98000 1.2 40 Fiat Tipo 8272 1500 7 32000 1.4 41 BMW 316i 13650 6995 6 71000 1.8 42 Citroen AX Diesel 7680 1295 6 1.5 43 Ford Fiesta LX 8748 1995 7 60000 1.1 44 Nissan Micra 5340 1595 9 40000 1.1 45 Ford Escort Duet 9105 2300 7 64000 1.4 46 Nissan Sunny 7799 2595 7

• Word count: 13867
24. ## I have been asked to investigate factors that affect the depreciation of cars.

This filled the box with the age of the car. I then highlighted the box, right clicked and selected copy, before highlighting all the boxes below and selecting paste special, formula. This filled in the ages for all of the cars. Next, to get the percentage depreciation, I made another column and filled it with a more complicated formula- =(I2-H2)/I2*100 where I2 is the price when new and H2 is the price now. This filled the first box in the percentage depreciation column with the appropriate value, and I copied the formula into the other boxes as before.

• Word count: 3175
25. ## Objective; to investigate the relationship between used car price and age of car.

Sampling; (Planning) My plan involves selecting 40 cars from the total of 100 cars by car in the list. To do this I used stratified sampling which involved taking a tally of all the cars arranging them in sections depending on their age, then as 40/100 is 0.4 I multiplied the frequencies for each age group by 0.4 and rounded it to the nearest integer where the total would add up to 40 cars. I decided to leave out the cars of ages 11+ since their was only a maximum of one car for each year ,hence when I multiplied by 0.4 and rounded to nearest integer I got 0.

• Word count: 5858
26. ## The aim of this experiment is: To observe how differences from car to car effects the second hand value e.g. colour, make, mileage, engine size length of MOT and the number of seats.

Stratified random sampling this is obtained by separating the data in to appropriate categories called stratas e.g. by mileage. Then find out what percentage of all the data Is in each strata then selecting a random sample form each sample in proportion to its size. * When the data is chosen by whichever method it will be placed in a table an then represented on a graph the graphs I will use are: scatter graph, cumulative frequency curve. * On my scatter graph I will work out and draw the line of best fit going through the mean and work out the least squares regression line, standard deviation, and the spearmans rank correlation coefficient all these methods will be explained further in my explanation page.

• Word count: 3774