#### Examine how the age of a second hand car affects its price.

Investigation: To examine how the age of a second hand car affects its price. Also to check if there is any relationship with the age and price drop. Hypothesis: Although naturally there will be some exceptions I believe that in most cases, as the age increases, the price of a 2nd hand car will decrease. This is clearly shown if you divide the old price by the price when new. Method: I have created a frequency table to firstly sort out my sample size. I will divide the frequencies by 5 to give me a final sample size of 20 from the original sample of 100. I will divide each individual frequency by 5 to determine how many of each age is needed for a fair sample. This is the Frequency table of the sample size of 100. Age Frequency 0 2 8 3 8 4 2 5 7 6 7 7 9 8 0 9 5 0 3 1 2 0 3 0 4 0 5 For my investigations I need a sample size of 20 so I have divided each frequency by 5. This will tell me how many of each age is needed for a fair investigation. Age Frequency Ratio to sample (Frequency divided by 5) Rounded up 0 2 2 2 8 .6 2 3 8 .6 2 4 2 2.4 2 5 7 .4 6 7 3.4 3 7 9 3.8 4 8 0 2 2 9 5 0 3 0.6 1 0.2 0 2 0 0 0 3 0 0 0 4 0 0 0 5 0.2 0 00 20 Now that I know how many of each age is needed. I will choose these cars at complete random. Paying attention to the age, I will manually search the age

• Word count: 3084
• Level: GCSE
• Subject: Maths

#### Statistically analyse the data given to me regarding Gary's used car sales.

My task for this coursework is to statistically analyse the data given to me regarding Gary's used car sales. I shall begin with looking at the data. The following data was given to me. No. Price Price when New Age Make Mileage Engine Size £6,970 £11,600 3 Ford 24,000 .6 2 £3,350 £7,100 7 Peugeot 85,000 .1 3 £3,995 £13,800 6 Ford 52,000 2.0 4 £5,300 £16,300 6 Vauxhall 70,000 2.0 5 £6,500 £8,700 3 Fiat 24,000 .2 6 £1,500 £8,700 9 Vauxhall 82,000 .6 7 £995 £8,500 9 Ford 02,000 .8 8 £3,000 £10,400 7 Vauxhall 63,000 .7 9 £7,495 £9,770 Vauxhall 8,000 .4 0 £850 £7,540 0 Ford 24,000 .6 1 £5,595 £11,000 4 Ford 41,000 .6 2 £4,995 £9,880 3 Ford 34,000 .4 3 £5,595 £14,000 4 Ford 55,000 .6 4 £4,995 £11,500 4 Rover 40,000 .4 5 £2,600 £12,000 7 Rover 82,000 .6 6 £1,000 £6,200 0 Peugeot 19,000 .1 7 £750 £5,100 1 Peugeot 96,000 .0 8 £1,350 £9,140 8 Ford 08,000 .6 9 £2,950 £17,750 8 Ford 96,000 2.9 20 £3,250 £9,990 7 Vauxhall 86,000 .6 21 £5,650 £11,150 3 Vauxhall 34,000 .6 22 £4,600 £7,300 2 Rover 7,000 .1 23 £5,400 £7,300 Rover 1,000 .1 24 £4,800 £7,300 Rover 26,000 .1 25 £2,700 £13,000 5 Fiat 51,000 2.0 26 £11,000 £13,800 Peugeot 9,000 .8 27 £2,800

• Word count: 2205
• Level: GCSE
• Subject: Maths

#### Which factors influence the price of a second hand car?

Maths Coursework 2002 Which factors influence the price of a second hand car? By Ricky Winborn Collinson 1199 Objective: The aim of this project is to investigate which factors influence the price of a second hand car. For example, one may investigate to see if mileage, MPG, Price of MOT, make, model, colour, engine size, fuel, service history, number of owners etc. I will now investigate the following factors to see if they affect the difference in price when new and when resold. Predictions: First of all, I predict that the age of the car will highly influence the amount of depreciation in value. This is not relevant for all cars as some are considered valuable for being 'vintage' and rare. This is probably relevant for cars that are between 30 and 5 years old. I also think that the amount of mileage done will affect the car in most cases. Again, this will not affect all cars, as some cars are purchased purely for their rarity and are never used. I do not think that the colour will affect the depreciation in price greatly as it is something that can quite cheaply and easily be modified. These are my main predictions but I do have other opinions on what will affect the price but there are too many contributing factors. Coursework First of all, I added another column to the table that showed the 'Depreciation in value' so I could refer to it in the project and make

• Word count: 810
• Level: GCSE
• Subject: Maths

#### "The price of a silver used car will be higher then that of red and blue used cars"

Hypothesis 1 "The price of a silver used car will be higher then that of red and blue used cars" The Price of a used car is affected by the colour. I think that the colour of the car will distinguish different sets of prices. For example, red car prices may be higher than green cars because they are more common. The colours I will be comparing are blue, red and silver, as I feel that they are the most common car colours. I think that silver cars will have the highest range of car prices, because after researching in the 'Auto Trader' section of the local paper, I have discovered silver is the most common colour of cars, followed by blue. This means, on the other hand it is likely that red cars will have the lowest range of prices. Mercedes A140 Classic 0999 red Fiat Bravo 3495 red Rover 820 SLi 3795 red Rover 14 Sli 2495 red Fiat Uno 495 red Vauxhall Cavalier 850 red Volkswagen Golf 3695 red Ford Fiesta 495 red Renault Clio 495 red Ford Escort Duet 2300 red Vauxhall Corsa 4995 silver Rover 416i 3795 silver Daewoo Lanos 5999 silver Seat Ibiza 795 silver Fiat Tempra 295 silver Hyundai Sonnata 195 silver Ford Puma 8250 silver Peugot 206 7500 silver Peugot 406 7500 silver Mercedes Elegance 7500 silver Nissan Micra 3999 blue Renault Megane 4999 blue Vauxhall Vectra 6499 blue Mitsubishi

• Word count: 742
• Level: GCSE
• Subject: Maths

#### Statistically analyse the data given to me regarding used car sales.

Mathematics Coursework * Strand 1: Specify clearly what you plan to do and why you are approaching the investigation in this way. * Strand 2: Collating the data you need and representing it in a way which helps to develop your investigation. * Strand 3: Interpreting your results and drawing conclusions from them. My task for this coursework is to statistically analyse the data given to me regarding the used car sales. I shall begin with looking at the data. This includes data about 100 used cars, and various other sets of information about the cars such as: > car, > make, > model, > new price, > second hand price, > age, > colour, > engine size, > fuel, > mpg, > mileage, > service history, > owners, > length of MOT, > tax (months), > insurance group, > doors, > style, > central locking, > seats, gearbox, > air conditioning, > airbags. Because there is so much data, I will have to sample the data. In order for my analysis to be more reliable I will use stratified sampling. I have decided to sample 25 cars from the data given to me. In order for me to choose them, I will have to make a frequency table to tell me how many makes and models there are. E.g. how many Ford's there are in the data? Because I want to sample 25 cars I will use the formula below. Numbers of cars in each make 4 E.g. If there are 16 Fords, then

• Word count: 1938
• Level: GCSE
• Subject: Maths

#### Used car prices.

Used car prices Introduction During this coursework I will be working from the form the data that has been given to me. It is established on figuring out and representing the data in different forms. The table below is the given data that is to be interpreted: Car Make Model Price when new Second hand price Age (Years) Mileage Engine Size Ford Orion 6000 7999 7000 .8 2 Mercedes A140 Classic 4425 0999 4000 .4 3 Vauxhall Vectra 8580 7999 2 20000 2.5 4 Vauxhall Astra 4325 6595 4 30000 .6 5 Nissan Micra 7995 3999 3 37000 6 Renault Megane 3610 4999 4 33000 .6 7 Mitsubishi Carisma GDI 4875 5999 2 24000 .8 8 Rover 623 Gsi 22980 6999 4 30000 2.3 9 Renault Megane 3175 6999 3 41000 .6 0 Vauxhall Tigra 3510 7499 4 27000 .4 1 Fiat Bravo 0351 3495 5 51000 .4 2 Vauxhall Vectra 8140 6499 4 49000 2.5 3 BMW 525i SE 28210 5995 8 55000 2.5 4 Vauxhall Corsa 8900 4995 2 24000 .6 5 Fiat Punto 8601 3995 4 31000 .2 6 Rover 820 SLi 21586 3795 6 51000 2 7 Mitsubishi Carisma 5800 5999 2 33000 .8 8 Fiat Cinquecento 6009 995 6 20000 0.9 9 Rover 416i 3586 3795 6 49000 .6 20 Nissan Micra 6295 795 8 47000 .2 21 Daewoo Lanos 1225 5999 3 42000 .6 22 Rover 14 Sli 8595 2495 6 33000 .4 23 Ford Escort 8785 595 7 68000 .3

• Word count: 13867
• Level: GCSE
• Subject: Maths

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

Used Car Sales Introduction The aim of my investigation is to statically analyse a given set of data concerning used car sales and investigate the relationship that particular variables have with each other ones. These are the following variables: - * The make of the car * The model of the car * The price when new * The price when second hand * The age of the car * The colour of the car * The car's engine size * The type of fuel the car takes. * The MPG (miles per gallon) of the car * If the car has been serviced * The number of owners To begin with I will investigate how the age of a vehicle affects the price when being resold and if this varies form make to make. Prediction 1 From my experience with cars and gained knowledge, I am able to predict that as the age of a car increases the car depreciates and its value is lowered. Concerning the make and model of the car, the age and depreciation rate relationship will differ depending on what car is being looked at, for example a Ford Focus will depreciate at a slower rate than a Ford Escort because it is higher up in the range and more desirable to buyers. Hypothesis 1 As a vehicle's age increases the price of that vehicle will decrease. To aid me in my coursework I was presented with a table of 100 cars and their attributes e.g. colour, make, and age e.t.c. So that everyone's coursework was different and to

• Word count: 3719
• Level: GCSE
• Subject: Maths

#### Math Coursework- Used car prices

Year 11 Math Coursework- Used car prices In this coursework I'm trying to find out the difference on the prices of a second hand car, a list of cars is given factors in different categories with the information of the cars' original and second hand prices, details such as the size, the history and other small information. These factors affect their original prices and their second hand prices; I must first separate these to find what main factor affects the price dramatically. This should first be done by cataloging them. There are a lot of different makes and ages of cars listed, I'm going to separate the list of makes first: Mercedes, Vauxhall, Nissan, Renault, Rover, Fiat, BMW, Daewoo, Toyota, Volkswagen, Seat, Hyundai, Citroen, Bentley, Lexus, Peugot, Honda, Landrover, Porche, Suzuki, Audi, Rolls Royce, Mitsubishi, Ford There are 24 different makes of cars listed, it would be hard to compare each make separately, as well as there are different models for each make, therefore, I should compare the cars that are in the same make first to find out what influence tare there to the second hand price. I'm using Mercedes as a stratified sample and concentrate on the cars' original and second hand price first. Make Model Price when new Price Age Mileage Mercedes A140 Classic 4425 0999 4000 Mercedes Elegance 26425 7500 2 22000 Mercedes AvantGarde 7915 1750

• Word count: 3064
• Level: GCSE
• Subject: Maths

Anglo European School EDEXCEL AVCE BUSINESS STUDIES Assignment 1 Unit 1: Business At Work Candidate Name: Toong Lu Candidate Number: 9007 Centre Number Table of Contents . Introduction 3 .1 Aim 3 .2 Report Structure 3 2. Review of Ford Motor Company 4 2.1 Company Overview 4 2.2 Business Objectives: Vision, Mission, Objectives, Strategy and Tactics (VMOST) 6 . Introduction .1 Aim The aim of this report is to understand the Business Environment and within organisation of Ford Motor Company (FMC), which includes the culture and management of the company. This report will also analyse and evaluate communication channels and quality control that FMC possess. Finally, conclusions will be drawn through the assessment of the process that is carried out by the company to meet their objectives, with recommendation of alternative approaches, which may enable FMC with further success in the future takings. .2 Report Structure The investigation will follow a structured analysis approach, illustrated in Appendix I. 2. Review of Ford Motor Company 2.1 Company Overview Ford Motor Company is a public limited company, listed on the New York Stock Exchange. Ford Motor Company is one of the world's largest multinational automotive companies that manufactures and distribute automobiles in 200 markets across six continents employing more than 327,000 people worldwide. The

• Word count: 1342
• Level: GCSE
• Subject: Maths

#### The task for this investigation is to statistically analyse the data given to compare Grays used car sales with the other pieces of information given in the table.

Car No Price £ Age Years Make Cost when new Mileage Engine Size 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 6,970 3,350 3,995 5,300 6,500 ,500 995 3,000 7,495 850 5,595 4,995 5,595 4,995 2,600 ,000 750 ,350 2,950 3,250 5,650 4,600 5,400 4,800 2,700 1,000 2,800 8,000 6,495 4,050 6,300 4,100 6,600 7,800 8,700 2,000 3 7 6 6 3 9 9 7 0 4 3 4 4 7 0 1 8 8 7 3 2 5 5 4 2 4 2 4 3 7 Ford Peugeot Ford Vauxhall Fiat Vauxhall Ford Vauxhall Vauxhall Ford Ford Ford Ford Rover Rover Peugeot Peugeot Ford Ford Vauxhall Vauxhall Rover Rover Rover Fiat Peugeot Fiat Rover Ford Ford Ford Vauxhall Vauxhall Peugeot Vauxhall Peugeot 1,600 7,100 3,800 6,300 8,700 8,700 8,500 0,400 9,770 7,540 1,000 9,880 4,000 1,500 2,000 6,200 5,100 9,140 7,750 9,990 1,150 7,300 7,300 7,300 3,000 3,800 6,500 21,000 8,800 8,400 0,300 8,900 8,500 0,500 6,000 8,300 24,000 85,000 52,000 70,000 24,000 82,000 02,000 63,000 8,000 24,000 41,000 34,000 55,000 40,000 82,000 19,000 96,000 08,000 96,000 86,000 34,000 7,000 1,000 26,000 51,000 9,000 43,000 42,000 23,000 48,000 26,000 37,000 9,000 3,000 42,000 65,000 .6 .1 2.0 2.0 .2 .6 .8 .7 .4 .6 .6 .4 .6 .4

• Word count: 2603
• Level: GCSE
• Subject: Maths