• Join over 1.2 million students every month
• Accelerate your learning by 29%
• Unlimited access from just £6.99 per month
Page
1. 1
1
2. 2
2
3. 3
3
4. 4
4
5. 5
5
6. 6
6
7. 7
7
8. 8
8
9. 9
9
10. 10
10
11. 11
11
12. 12
12
13. 13
13
14. 14
14
15. 15
15
16. 16
16
17. 17
17
18. 18
18
19. 19
19
20. 20
20
21. 21
21
22. 22
22
23. 23
23
24. 24
24
25. 25
25
26. 26
26
27. 27
27
• Level: GCSE
• Subject: Maths
• Word count: 2891

# Compare the heights and weights of pupils from Mayfield high school.

Extracts from this document...

Introduction

Maths GCSE Coursework (Mayfield High) My task is to compare the data of Mayfield high school children. My hypothesis in this task are shown below, I will use my data to show if my line of enquire is right or wrong and if so why. * Older pupils are tall/heavier. * The older the pupil the heavier they are. In this data I will compare the heights and weights of pupils from year 7 to year 11 and males and females, I am going to use data from different years because I would like to see if age makes a difference, also I am comparing both sexes to see if that differs. As it stand there is more boys than girls in the school and some of the years group are bigger than others, shown below: Year Boys Girls Total 7 140 131 271 8 145 121 266 9 118 143 261 10 108 94 202 11 84 86 170 595 572 1170 I have taken into account that some years are bigger than others, and there is more boys in the school so I have decided to take a certain amount of boys and girls from each year, my calculation are shown below: Yr 7 b = 140/595x30= 7 Yr 7 g = 131/575x30= 7 Yr 8 b = 145/595x30= 7 Yr 8 g = 121/575x30= 6 Yr 9 b = 118/595x30= 6 Yr 9 g = 143/575x30= 7 Yr 10 b = 108/595x30= 5 Yr 10 g = 94/575x30= 5 Yr 11 b = 84/595x30= 4 ...read more.

Middle

But I have found that there is an error in the data because in year 9 the median is 6.5 where as in year 8 it is only 6. This could be because there are different people and so different people grow more or less. I have found that in year 11, the mean is higher than in any other year group, and year 7 had the lowest mean. Also I can see that as the year groups increase the range decreases this could be because as you get older you start to grow less and so the range between the tallest and the smallest starts to narrow. I can see by my cumulative frequency curve that year 7 has the highest cumulative frequency in the tallest height group. In year 7 the group with the highest frequency was the 150?h<160cm. In year 8 the group with the highest frequency was 150?h<160cm and 160?h<170cm. Where as in year 9 the biggest group was 170?h<180cm. The biggest year 10 group was 160?h<170cm, and in year 11 the biggest group was 160?h<170cm. So I have come to the conclusion that from the data I have look at, people as they get older do grow but the gap between the smallest and the tallest does narrow. Where as the year with the biggest height group was year 9 with 170?h<180cm. But I can see with my cumulative frequency curve that year 7 has the highest total cumulative frequency where as year 11 has the lowest cumulative frequency. ...read more.

Conclusion

For this I have gathered data and sorted into groups and processed the data into tables and graphs, from this I can now look at the data and come to the conclusion on whether my theory was correct or not and why. From my data I can see that year 11 had the lowest median from all the year groups, and I can also see that year 7 have the highest median. This could because of growth which causes the weight to increase, but also the diet of the child may increase or decrease the weight of the child. Year 8 and Year 10 had the highest frequency in the biggest weight group. But year 8 has the highest frequency in the lowest weight group as well, so this shows that there is a big gap between the weights of the children in year 8. I can also see from my data tables that year 7 has the biggest range out of the whole year groups. Year 7 also had the highest lower quartile. The biggest upper quartile was found in year 9, and the average mode of the entire year groups was 50?w<60kg. So I have now come to the conclusion that age doesn't play a massive factor in the weight of a child if could also be because of the diet that they eat. But I have found from the children that I use for my data that the weight did increase as they got older and this is mainly due to growing, so this changes the weight of the child. ?? ?? ?? ?? Thomas Ordidge Maths Miss Vickers 10JG GCSE Coursework ...read more.

The above preview is unformatted text

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.

## Found what you're looking for?

• Start learning 29% faster today
• 150,000+ documents available
• Just £6.99 a month

Not the one? Search for your essay title...
• Join over 1.2 million students every month
• Accelerate your learning by 29%
• Unlimited access from just £6.99 per month

# Related GCSE Height and Weight of Pupils and other Mayfield High School investigations essays

1. ## Height and Weight of Pupils

Adnan Mahmood Male 90 1.56 60 9 Anakin Pauya Male 103 1.65 45 9 Armarnio Vintchenzo Male 105 1.67 54 9 Banks Robin Male 100 1.73 66 9 Dwyer Tommas Male 101 1.58 65 9 Fagg Simon Male 100 1.75 60 9 Miya Gallahad Male 96 1.82 75 9 Royle

2. ## mayfield high statistics coursework

Also I feel this trend may be since the TV helps stimulate a child mind to a certain degree and whichever program it may be it has some effect on the way a child lives there live and in my sample the effect is largely positive as I have duly come to find.

1. ## Mayfield. HYPOTHESIS 1: Boys at Mayfield School are Taller and Weigh more on ...

able to find the median which will show the middle frequency of my data and also will be able to view the maximum and minimum values for both height and the weight and find the percentiles and the quartiles. For the Height the Median is 170cm and the interquartile range

2. ## Conduct an investigation comparing height and weight from pupils in Mayfield School.

158 7 49 159 8 64 163 12 144 150 -1 1 159 8 64 145 -6 36 158 7 49 157 6 36 155 4 16 164 13 169 149 -2 4 156 5 25 132 -19 361 155 4 16 130 -21 441 150 -1 1 163 12

1. ## Mayfield High School

I will also draw a two way table using the tables and graphs above: Year 10 IQ Year 8 IQ Upper Quartile 104.5 103.5 Lower Quartile 90 90.1 Median 99 97.7 Mean 101.3 101.3 Mode 100<x?110 100<x?110 Year 10 Ks2 Results Year 8 Ks2 Results Upper Quartile 4.355 4.4 Lower

2. ## Maths Data Handling

To accurately get this comparison, I will work out the standard deviation for the boys in my sample that I created before this. Year 7 Boys Height (cm) Weight (kg) 149 43 130 35 160 38 153 44 149 67 150 59 159 47 148 44 155 47 147 41

1. ## I will be testing the following hypothesis in my pilot study: ...

Boys Girls Number in sample, n: 30 30 Mean, x: 1.57633 1.63633 Standard Deviation, x: 0.0777382 0.112442 Range, x: 0.35 0.51 Lower Quartile: 1.51 1.5575 Median: 1.55 1.635 Upper Quartile: 1.6225 1.725 From the diagrams above, I can say that the boys mean height is much greater than the mean height of the girls.

2. ## mayfield high school handling data coursework

Kelly Sarah Female 1.55 60 0.852456 11 Hunter Ingrid Female 1.52 44 0.80956 11 Briggs Sarah Louise Female 1.63 48 0.901577 11 Butt Paveen Samia Female 1.65 54 0.779316 11 Hossany Selim Waseem Male 2 86 0.661468 11 Spern Jon Male 1.7 54 0.214736 11 Olderson Stuart Martin Male 1.62

• Over 160,000 pieces
of student written work
• Annotated by
experienced teachers
• Ideas and feedback to