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  • Level: GCSE
  • Subject: Maths
  • Word count: 2767

elationship exists or can be established between the height and weight of students

Extracts from this document...

Introduction

Tanveer Virdee 11G3                October 2004image00.png

GCSE Mathematics Coursework

Aim

The aim of this investigation is to distinguish if a relationship exists or can be established between the height and weight of students ageing from 12 yrs to 16 yrs in year groups 7 to 11 in a mixed in a boys and girls school.  To execute this investigation I have to acquire information from Mayfield School survey, this will provide me with the relevant data which will be interrogated and analysed to investigate the hypothesis.

Prediction

The hypothesis for this investigation, in relation to the aim, is that the taller the person the heavier their body weight for both boys and girls.  But that this proportion is different between girls and boys.  The ratio of weight to height is lower for girls than for boys.  This overall prediction may show anomalies which may contradict the hypothesis.

Method

The method used in this investigation will consist of the following processes.;

  1. Firstly I will gather the relevant information from the Mayfield survey and put the data into order for every year group by gender.  The summary results are shown in the Table 1

Year Group

Number of boys

Number of girls

Total

7

151

131

282

8

145

125

270

9

118

143

261

10

106

94

200

11

84

86

170

Total number of pupils

1183

Table 1 – gender by year group

  1. I will be using a
...read more.

Middle

Skinner

Danny

Male

1.59

41

8

Casy

Matthew

Male

1.67

51

8

Colt

Quamer

Male

1.68

45

8

Kallinas

Jake

Male

1.70

69

8

Alfred

Anthony

Male

1.72

51

8

Hamilton

John

Male

1.75

62

8

Adam

Alander

Male

1.77

54

8

Freeman

Ian

Male

1.82

64

8

Malone

Matthew

Male

1.82

70

8

Dempsey

Simon

Male

1.83

64


Random selection for Year 9

Year Group

Surname

Forename 1

Gender

Height (m)

Weight (kg)

9

Hardman

Rachael

Female

1.45

51

9

Calg

Natalie

Female

1.5

45

9

Taylor

Bethany

Female

1.52

48

9

O'Neill

Krisila

Female

1.54

36

9

Greenhalsh

Stacey

Female

1.55

57

9

Power

Leoni

Female

1.56

63

9

Atkins

Patience

Female

1.57

40

9

McDonald

Louise

Female

1.59

46

9

Howarth

Kirsty

Female

1.62

54

9

Kalidas

Jessica

Female

1.62

41

9

Saleem

Adila

Female

1.64

70

9

Packham

Amanda

Female

1.65

49

9

Waugh

Melaine

Female

1.68

47

9

Clough

Samantha

Female

1.71

54

9

Dover

Ben

Female

1.8

57

9

Vasel

Ricardo

Male

1.55

67

9

Dwyer

Tommas

Male

1.58

65

9

Butt

Michael

Male

1.61

38

9

Bravendere

Andrew

Male

1.62

40

9

Jones

Kev

Male

1.62

49

9

Taylor

Hugh

Male

1.62

52

9

Agha

Hosaib

Male

1.66

54

9

Grimshaw

Chris

Male

1.70

50

9

Hardy

Matt

Male

1.70

47

9

Humza

Asim

Male

1.70

42

9

Lees

John

Male

1.70

55

9

Smith

David

Male

1.70

48

9

Bigglesworth

Wayne

Male

1.77

66

9

Crawford

Jamie

Male

1.80

51

9

Truman

Paul

Male

1.80

42


Random selection for Year 10

Year Group

Surname

Forename 1

Gender

Height (m)

Weight (kg)

10

Ashiq

Azra

Female

1.60

56

10

Bhatti

Hannah

Female

1.72

56

10

Brown

Verity

Female

1.56

56

10

Collins

louise

Female

1.71

54

10

Eden

Laura

Female

1.53

65

10

...read more.

Conclusion

For all the females from years 7 to 11 had either positive correlation or no correlation at all, girls tended to follow the general idea that the taller you are the heavier you are.

For all males from years 7 to 11 had positive correlation apart from one year where we could say that we were shown negative correlation, year 9 males did not fit the general term where we have someone that is 1.55m tall and weights 67kg (approx) and someone who is 1.80m and weights 42kg (approx) this results in a negative gradient.

I later went on to see if there was a relationship between every female and every male, I found that there was stronger correlation within female as every pupil was close and compact and there was a fairly strong correlation within boys but still a couple of pupils did not fit the trend.  

A larger sample would provide a greater level of confidence in the analysis as relying upon a random selection can only provide a certain level of mathematically based confidence

All my work was carried out using Microsoft Word and Excel.

 of

...read more.

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