• 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
• Level: GCSE
• Subject: Maths
• Word count: 2772

# The aim of the statistics coursework is to compare and contrast 2 sets of data. The data, which has been given to me, is from year 7 and year 9. The data is from Chatham House Grammar School, which is an all boy's school.

Extracts from this document...

Introduction

John Chapman   Maths

GCSE Statistics Coursework

Aim

The aim of the statistics coursework is to compare and contrast 2 sets of data. The data, which has been given to me, is from year 7 and year 9. The data is from Chatham House Grammar School, which is an all boy’s school. There is different data such as eye colour, weight, height etc. All the data is from the pupils themselves.

## Introduction

In the statistics coursework I have been given secondary data, I have been given secondary data as the data was collected through a questionnaire. The different categories from the questionnaire include such things as eye colour, weight, height, shoe size, age, span and foot length.

In year 7 there are 75 pupils who completed the questionnaire, and in year 9 there were 72 pupils who completed the questionnaire. The questionnaire survey was carried out by a teacher called Mr. Tebbutt in May 2002. I have said when the survey took place because if it took place 80 years ago then the people would tend to be different heights eg. Smaller and also lighter.

I am now going to produce 3 hypothesis, which I am going to investigate in this piece of statistics coursework. The 3 hypothesis, which I have chosen, are:

1. The most popular eye colour in year 7 and 9 is BLUE.
2. Taller pupils weigh more.
3. On average people in year 9 are taller than in year 7.

How I will Do The Hypothesis’.

## Hypothesis 1

To do hypothesis 1.

Middle

I will now put all the information into a bar graph and from this it will show me what the most popular eye colour is in year 7.

I will now use the same method for year 7 as year 9 and put all 30 pieces of data into a tally chart.

Colour          Tally          Cumulative Frequency

Blue         /////  /////  ///      13

Brown     ///// ///// //          12

Green       //                       2

Grey         /                        1

Hazel        //                       2

TOTAL          30

I will now put the data into a bar graph.

From the 2 different graphs that I have produced I will now put them together so I have year 7 and 9 on the same graph. From that I will hope to make a conclusion.

From this graph I can see that most pupils in year 7 and year 9 have blue eyes with brown eyes following closely behind. I can now conclude my first hypothesis by saying that the most popular eye colour in year 7 and 9 is BLUE. The conclusion for Year 9 is not a fair one as because if I had have used a wider spectrum of data then I think that the graph would be different as the blue and brown eye colour was very close.  So my first hypothesis is correct!

#### Hypothesis 2

Taller pupils weigh more.

For this hypothesis I will plot 2 different scatter graphs. One for year 7 and one for year 9. From the graphs I hope to calculate the average height and weight for both the small and tall people or if it is obvious to see I will not calculate any results.

Conclusion

Also with the questionnaire some people may not have put the result to the nearest cm or rounded the results up instead of down or vice versa. Some students when answering the question may simply just not fill in the answer even if they know what the answer is.

During my project I used many different calculations and mathematical theories to help me answer my hypothesis. In the project I used Stem Leaf Graphs, Cumulative Frequency Tables and Curves and Box Whisker Plots also during the project I used tally tables and bar graphs.

I think I could attempt my project in a different way by choosing different hypothesis and maybe more hypothesis also do extensions and use different ways of calculating the hypothesis. E.g. use methods different to Box Whisker or Stem Leaf.

It is hard to make comparisons between the two year groups as they are so different. None of results were close when comparing the data. This may simply be because when boys are in year 9 they have developed more than people would in year 7. E.g. most probably taller and heavier. That is why comparing data from 2 different schools but in the same year may be a more effective task.

Overall I think the project went well although things could have been changed. I think my plan was quite well thought out and that it helped me quite significantly to complete the project.

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. ## Edexcel GCSE Statistics Coursework

As the statistics provided have not been collected by myself and are therefore a form of secondary data, they may be seen as unreliable. It may be wise to evaluate the validity and reliability of the information by critically evaluating how the information was gathered, analysed and presented.

2. ## GCSE Physics Coursework

I also predict if you double the weight of the load so the amount of deflection also doubles. So if the weight is 1N and the deflection is 10mm. the deflection should be 20mm if the weight is 2N. This can also be said for Hooke's Law which us the extension is directly proportional to the stretching force.

1. ## Maths Statistics Coursework - relationship between the weight and height

If I look at the girls, I can see that the heights extend lower than the boys lowest outlier so therefore, most of the heights for the girls are in the boundary from 1.31m - 1.80m. Conclusions Investigation The start of the investigation was to choose a line of enquiry

2. ## GCSE Maths Statistics Coursework

100 15 21 100 < x ? 110 14 35 110 < x ? 120 3 38 120 < x ? 130 2 40 The cumulative frequency tables below show the spread of data (IQ) for the two different year groups in my sample (Year 10 and 11).A box plot will be plotted to show the inter-quartile

1. ## Mayfield High School data handling Coursework

IQ KS2 Score 2 104 4.7 8 100 4.3 9 103 4.7 14 100 4.0 16 93 3.3 34 109 5.0 29 89 3.3 50 92 3.3 70 108 4.7 131 124 5.0 Ref. No. IQ KS2 Score 1 101 3.7 6 101 4.0 7 112 5.0 8 100

2. ## Statistics coursework Edexcell

Table 15 Using the data above I will look at the standard deviation of BMI Year Seven Boys BMI Midpoint(x) Frequency(f) FX FX2 12?X<14 13 0 0 0 14?X<16 15 4 60 900 16?X<18 17 1 17 289 18?X<20 19 5 95 1805 20?X<22 21 3 63 1323 22?X<24 23

1. ## For my Statistics coursework I have decided that I will compare weight and height. ...

to get all the data in thus making the data looked cramped. To fix these problems I had to go over my graph data again and get rid of my outliers properly. My second hypothesis was "Year 7s will not be as tall as the Year 11s" where I had used a box and whisker plot graph.

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

I have already randomised my data , during my pilot study so I will use the same randomised data and take the first 30 from each group. Instead of an overall sample size of 100 in the pilot study I will take a sample of overall size 180, with a

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