• 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
• Level: GCSE
• Subject: Maths
• Word count: 2973

Mayfields data handling

Extracts from this document...

Introduction

Mayfield’s high school: GCSE Mathematics

Introduction

In this coursework I will be investigating the contrast between girls and boys from years 11 and 7, in height and weight.  I am going to be using various methods to verify my hypothesis including producing graphs and diagrams.  I will be collecting my samples from Mayfield’s secondary school and will also be using stratified sampling to get accurate results from the samples.  I will then be putting the samples in to a series of graphs mainly scatter diagrams and cumulative frequency graphs as this will help me verify my hypothesis.

Hypothesis

In this investigation I predict that as the height of a pupil increases so     will the weights of the pupil.  I also think that as the males get older they will have a greater height and weight than the females.  But the females will have a greater height and weight than the males when they are younger; I feel this is due to the variations in puberty between males and females.

Stratified sampling

The sampling method I am going to be using is stratified sampling.  This type of sampling involves calculations unlike random and quota sampling which do not use a stratified approach to sampling.

Middle

Boyoh

Jake

Male

1.54

43

7

Brann

Jamle

Male

1.73

53

Year 9 Samples KS3 (key stage three)

 Year Group Surname Forename 1 Gender Height (m) Weight (kg) 9 Ali Aisha Female 1.52 45 9 Ali Hannah Female 1.62 52 9 Al-Jiboun Tarah Female 1.8 60 9 Amjad Samia Female 1.55 36 9 Aneillz Christina Female 1.53 65 9 Ashworth Samantha Female 1.6 48 9 Atkins Patience Female 1.57 40 9 Bagnall veronica Female 1.49 37 9 Barlow Billie Female 1.62 49 9 Barlow Sandra Female 1.64 55 9 Bellfield Janet Female 1.58 40 9 Bennett Susan Female 1.6 41 9 Bertwistle Laura Female 1.48 47 9 Billard Hailey Female 1.63 52 9 Boneheyo Olivia Female 1.65 49 9 Border Lucy Female 1.57 38 9 Edwards John Male 1.60 58 9 Elliot William Male 1.65 50 9 Ether Paul Male 1.53 45 9 Fagg Simon Male 1.75 60 9 Fenton Aaron Male 1.85 55 9 Gibb Mike Male 1.75 52 9 Glenn Edward Male 1.48 40 9 Gorst Lee Male 1.44 49 9 Gregory Andrew Male 1.82 66 9 Grimshaw Chris Male 1.70 50 9 Gunet Armede Male 1.60 68 9 Hall Patrick Male 1.60 55 9 Handergon Ben Male 1.58 50 9 Hardy Matt Male 1.70 47

Year 11 samples KS4 (key stage four)

 Year Group Surname Forename 1 Gender Height (m)

Conclusion

Upper Quartile= 166

Interquartile range= 18

I have noticed that the highest increase was in frequency between {1.5<x<1.6} and {1.6<x<1.7} (16-4=12) and therefore this is the most common height, whereas between {1.8<x<1.9} and {1.9<x<2.0} the difference was 1 (30-29=1) and this was the least increase in height and therefore the least common.

Lower Quartile= 37

Median= 42

Upper Quartile= 48

Interquartile range= 11

I have noticed that the highest increase was in frequency between {40<x<50} and {50<x<60} (21-5=16) and therefore this is the most common weight, whereas between {70<x<80} and {80<x<90} the difference was 1 (30-29=1) and this was the least increase in weight and therefore the least common.

From my investigation in the year 11 height and weight using cumulative frequency I have found out that the most common height is between 160cm to 170cm and the most common weight is between 50 and 60 kg.

Evaluation of Hypothesis

In my opinion I feel that my investigation was successful, I believe that the evidence that I have proved successfully was key to my investigation and inevitably I have proved that my prediction was correct. Even though I could not evaluate all the students heights and weight I still believe that the trends that I discovered would be repeated if I extended my sample would be the same. In general I believe my hypothesis was correct.

Candidate Name: Ryan Crilly  Candidate number: 3040  Centre Number: 30104

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

BOYS HEIGHTS: BOYS Height (cm) Cumulative Frequency Less than 140 2 Less than 150 2 Less than 160 8 Less than 170 16 Less than 180 17 Less than 190 20 Less than 200 20 Using a Statistical Program that I have downloaded I entered my data into the

2. Statistics GCSE Coursework. Height and weight of pupils. The sampling method I am ...

Year 7 1.5?x<1.6 Year 9 1.6?x<1.7 Year 11 1.6?x<1.7 Results for weight (kg): Modal interval (males and females) Year 7 40?x<50 Year 9 50?x<60 Year 11 40?x<50 As you can see these results are inconclusive and do not support my hypothesis so I looked at the means instead: Average height and weight for females: Mean height (m)

1. Is there a difference between male and female conversational styles in today's society?

Next speaker begins to speak while current speaker is still speaking. Zimmerman and West found that in mixed-sex conversations men are more likely to interrupt than women; but there were hardly any interruptions in the mixed conversation because J.B is a very dominant character and most of the participants felt they would lose face if they argued against her.

2. Maths: Data Handling Coursework

The girl who came before her is the height of 179cm, which is very close to 190cm. The slight difference between the tallest girl and the tallest boy could show that girls in Year 9 can be only slightly taller than boys in Year 9; however, the shortest girl is 125cm, whereas the shortest boy is 130cm.

1. Maths Data Handling

0, 0, 3, 4, 4, 5, 5, 8, 8 70 0, 0, 2, 2, 3, 4 80 0 90 2 Conclusion Weights (kg) Mean Modal Class Interval Median Range Girls 50.3 40-50 49 36 Boys 55 50-60 52 66 All three measures in the sample were higher for boys than

2. Mayfield Data Handling Coursework

in two sectors Boys and Girls and each sector will contain the surnames, forenames, gender, year group, weight and height of the randomly chosen students. I will be generating the statistical diagrams, charts and graphs by the use of ICT which is the software provided by the examining body Edexcel.

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

So I can estimate that 14 out of 25 56% of boys will weigh between 40 - 55kg. So if I select a boy at random from the school, my data suggests that the probability of him having a weight between 40 - 55kg is 0.56.

2. Liquid chromatography is a technique used to separate components of a mixture to isolate ...

4.6mm column of Kromasil 5� C18 A. Set Volume - Concentration varied * Procedure as in experiment 1.A * HPLC Conditions: Flow rate: 1ml/min Response: 0.5 Run-time: 8mins Wavelength: 254nm Range: depends on concentration (See chromatograms) RESULTS * Theophylline: Dilution Concentration (mol dm-3) Log10 concentration Retention Time (min)

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