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• Level: GCSE
• Subject: Maths
• Word count: 2701

# Mayfield High School Handling Data Coursework

Extracts from this document...

Introduction

Emma Duxbury

## Introduction

I am currently undertaking handling data coursework for GCSE key stage 4 mathematics. This involves using and applying statistics. The aim of my investigation is too develop a range of hypothesises through the use of data presented to me. I then intend to collect a sample using a variety of statistical methods and will then go on to calculate, represent and analyse this data to see if my hypothesises can be supported.

The data I will be using is taken from a fictional school called Mayfield. Mayfield has a population of 1183 pupils, both males and females ranging from years 7 to 11. The number of pupils within each year group differs. This is probably due to the school extending as each year goes on. I will manipulate Microsoft excel in order to analyse the secondary data contained in the database. Information given to me includes unique pupil numbers; year; gender; height and weight. I chose to use secondary data as this was an all together simpler and less time consuming method however I should be aware that there are some disadvantages

Middle

50

quartile 1

1.62

50

quartile 2

1.68

54

quartile 2

1.7

57

quartile 3

1.76

60

quartile 3

1.77

62

highest

2

82

highest

1.9

80

mean

1.71

56.8

mean

1.698

57.8

co efficient

co efficient

0.506734

 yr 9 height weight yr 8 height weight lowest 1.35 36 lowest 1.2 32 quartile 1 1.525 45 quartile 1 1.52 44 quartile 2 1.58 51 quartile 2 1.6 49 quartile 3 1.62 60 quartile 3 1.7 53.5 highest 1.75 75 highest 2 110 Interquartile range 0.4 39 Interquartile Range 0.8 78 mean 1.565 53.4 mean 1.604 57.7 co efficient co efficient yr 9 females height weight yr 8 females height weight lowest 1.35 36 lowest 1.32 38 quartile 1 1.5275 44 quartile 1 1.52 46 quartile 2 1.58 49 quartile 2 1.59 50 quartile 3 1.62 52 quartile 3 1.62 57 highest 1.8 65 highest 1.75 72 mean 1.5755 49.2 mean 1.56 52.6 co efficient co efficient 0.126176 yr 9 males height weight yr 8 males height weight lowest 1.46 38 lowest 1.2 32 quartile 1 1.54 47.25 quartile 1 1.52 42 quartile 2 1.635 54 quartile 2 1.62 49 quartile 3 1.73 63.25 quartile 3 1.72 52 highest 1.8 75 highest 2 110 mean 1.633 55.5

Conclusion

This graph shows that the median height increases every time the year gets higher.

This graph shows that the median weight increases every time the year gets higher.

Therefore, I can see that again, I have proved my hypothesis to be correct.

## Conclusion

Through looking at all the data collected I have been successful in proofing that all my hypotheses were correct. I did this through using a variety of methods. These included scatter and box and whisker diagrams as well as working out the means and correlation co-efficient. I proved all 3 hypothesis to be correct however, as I preceded my investigation there were some problems, these were that I found I had some errors that could have altered my results. If I were to do the investigation again I would eliminate the errors before including them in graphs and results tables, as this would make my results overall more reliable. I could have also increased the reliability through increasing the sample size. By increasing the sample size my results would be more varied and therefore more accurate. If I wanted to extend my investigation I could look at other schools and see how they compare to Mayfield High School. I could then establish whether or not my results can be applied to a wider population.

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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