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• Level: GCSE
• Subject: Maths
• Word count: 2743

# To test the ways in which the mass or weight of a person varies in proportion to their lifestyle, for example

Extracts from this document...

Introduction

GCSE Mathematics Coursework                                        Roy Elie 5M

Data Handling

Testing the Factors that Affect Body Mass of People

Aim

To test the ways in which the mass or weight of a person varies in proportion to their lifestyle, for example, as well as other factors, such as height and distance walked to school. I will be studying Mayfield High School’s year 7 pupils in an effort to obtain a visible correlation within one or more of the desired factors. I would like to prove my theories by using various random sampling techniques in addition to background research on other cultures.

Planning

In an attempt to gather suitable and reliable information, assortments of different methods will be used.

Random sampling will be used to find samples of girls and boys from the year 7 and will be used to assist me in finding an accurate and fair conclusion. A random sample will be obtained from the given results enabling me to plot a body mass index graph and eventually finding out what are the factors that effect why there are over or under weight people.

Stratified sampling will be used if the results from the variables tested are diverse. If I am not able to distinguish any correlation in the graphical results displayed, then a stratified sample will be used to further test the variables and to decide whether to continue with supplementary examination.

Middle

Bus

2.53

18.59

1

Walk

2.50

23.63

3

Tram

2.22

30.18

3

Car

1.69

20.71

3

Bus

2.40

18.73

1

Walk

2.04

16.14

2

Walk

2.72

19.10

1

Bus

2.86

19.96

2

Car

2.72

25.34

3

Car

2.50

16.02

4

Tram

2.25

24.89

3

Bus

Female:

 Age Surname Forename 1 Forename 2 Years Months Gender Height (m) Weight (kg) Coleman Jenifer Emma 12 10 Female 1.42 34 Pledge Lucy Marie 11 11 Female 1.48 37 Fisher Emma Louise 12 3 Female 1.31 45 Dodman Jennifer Anne 12 2 Female 1.25 35 Jackson Sarah Ann 12 5 Female 1.59 44 Jones Mellisa 12 3 Female 1.60 45 Minton Jennifer 11 11 Female 1.60 50 Ormsby Rebecca Ann 12 0 Female 1.42 52 Talbert Ieisha Jane 12 0 Female 1.54 42 Lloyd Angela Louise 12 1 Female 1.48 34 Kelly Jessica Fay 12 9 Female 1.66 45 Spencer Angela Cassey 12 4 Female 1.62 40 Anderson Zahrah 12 2 Female 1.56 53 Kelly Jenifer Fay 12 8 Female 1.30 45 McMan Kelly Sue 12 10 Female 1.43 38 Height2 (m2) BMI (kg/m2) Distance Between Home and School (Kilometres) Means of travel to school 2.02 16.86 3 Car 2.19 16.89 3 Bus 1.72 26.22 1.5 Walk 1.56 22.40 5 Walk 2.53 17.40 5 Walk 2.56 17.58 4 Car 2.56 19.53 3 Car 2.02 25.79 6 Bus 2.37 17.71 6 Bus 2.19 15.52 4 Tram 2.76 16.33 4 Tram 2.62 15.24 5 Bus 2.43 21.78 3 Car 1.69 26.63 1 Car 2.04 18.58 2 Walk

Stratified male and female sample results:

Male:

 Age Surname Forename 1 Forename 2 Years Months Gender Height (m) Weight (kg) Subra Kamber 12 9 Male 1.41 50 Matthews Tom 12 2 Male 1.52 45 Thomson Damien Craig 12 5 Male 1.50 55 Hardy Rhys 12 10

Conclusion

British playgrounds include rather a lot of fat kids. Government figures show that 22 per cent of schoolchildren are overweight. The Food Standards Agency has called the obesity problem “a ticking time bomb”, and there have been apocalyptic predictions that today’s children could die before their parents, struck down by unprecedented levels of Type 2 diabetes and coronary heart disease. Adults too are getting lardier, despite the deluge of advice about walking more, eating more vegetables and joining a gym.

Below are the BMIs for the males and females in the year 7 and these show how many of the children in the year are under or overweight. If someone is between the two lines, they are considered to be the right weight in comparison to their height. As the graphs convey, the majority of students are between the lines and, therefore, the right weight and height. However, there are a lot of students that are under the line and are underweight and many that are over the line and are overweight. The reasons and possibilities for this are expressed above.

Conclusion

I conclude that my hypothesis is incorrect and that what I stated about the BMI increasing as the mode of transport increasing is inaccurate. Instead, the results were completely random for each gender and sample and the fact that I obtained positive correlation for the first set of results was a fluke. The result had no structure and a couple of times the people who walked had the highest BMI. The BMI graphs just further emphasised the random results and showed the range of result used.

This student written piece of work is one of many that can be found in our GCSE Height and Weight of Pupils and other Mayfield High School investigations section.

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