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• Level: GCSE
• Subject: Maths
• Word count: 1296

# Maths Data Handaling

Extracts from this document...

Introduction

ZAKWAN AHMED 11A

2065

DATA HANDLING

MATHS COURSEWORK

MR UDDIN

Introduction

In this investigation I would looking at what factors affect the price of a second hand car. The things that I think that affect the price of a second hand car are:

Mileage       (The car might be warn out by all the journeys that It went

through)

Engine Size (How fast a car travels and the size of the engine)

I have decided to follow the following line of enquiry, the difference between the mileage and the price and how it affects it.

My Hypothesis is

The higher the mileage the higher the price drops

I would look at the price drop by using the following

%drop in price = Price when new- 2nd hand price

Price when new

Planning

1. First I am going to randomly select 30 cars from the data sheet

Middle

53000

59

20

65

£17,490.00

£7,500.00

34000

38

21

67

£27,855.00

£13,995.00

17500

57

22

71

£17,915.00

£11,750.00

40500

50

23

77

£14,486.00

£11,750.00

17000

34

24

81

£7,740.00

£7,995.00

30000

55

25

83

£14,486.00

£3,685.00

64000

75

26

85

£7,740.00

£3,495.00

55000

53

27

86

£7,659.00

£1,664.00

37000

75

28

91

£7,510.00

£3,769.00

38000

30

29

92

£8,710.00

£4,693.00

50000

46

30

94

£5,445.00

£1,195.00

52000

64

I am now going to explain how I had worked out % price drop in price

The formula is

%Price Drop = Price When New – 2nd Hand Price x 100

Price When New

Now I am going to choose 1 car from the table and show how I done it

The formula is

% Price Drop in = Price When New- 2nd Hand Price x 100

Price When New

I have selected a car from the table to show how I have worked out the % price drop

% Price Drop in = 8601 - 3995 x 100

8601

=0.53x100

=53

Now I am going to present my data using a scatter graph. The scatter graph would show if the factors would have a correct data or not.

Looking at my graph I can see it is a positive correlation. This correlation is a week correlation, it is scatter around.

Conclusion

>

£14,425

£10,999.00

24

4

Mercedes

£26,425

£17,500.00

34

5

Mercedes

£17,915

£11,750.00

34

6

Porsche

£32,995

£19,495.00

41

7

Volkswagen

£8,710

£4,693.00

46

8

BMW

£13,650

£6,995.00

49

9

Volkswagen

£16,139

£6,995.00

57

10

Volkswagen

£12,999

£3,595.00

72

11

Audi

£17,683

£3,995.00

77

12

Bentley

£170,841

£37,995.00

78

13

BMW

£28,210

£5,995.00

79

14

Lexus

£39,728

£6,250.00

84

15

Rolls Royce

£94,051

£14,735.00

84

 Quantity Make Price when new Second hand price %drop in price 1 Vauxhall £7,840.00 £4,976.00 37 2 Toyota £13,800.00 £7,495.00 46 3 Daewoo £11,225.00 £5,999.00 47 4 Nissan £7,995.00 £3,999.00 50 5 Ford £16,000.00 £7,999.00 50 6 Fiat £10,810.00 £4,995.00 54 7 Vauxhall £13,435.00 £4,995.00 63 8 Nissan £12,590.00 £4,300.00 66 9 Fiat £6,009.00 £1,995.00 67 10 Rover £8,595.00 £2,495.00 71 11 Ford £15,405.00 £3,995.00 74 12 Vauxhall £13,355.00 £2,574.00 79 13 Renault £7,403.00 £1,495.00 80 14 Nissan £13,355.00 £2,574.00 81 15 Rover £24,086.00 £2,975.00 88

Ordinary Cars

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