• 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
• Level: GCSE
• Subject: Maths
• Word count: 1908

# Data presentation coursework - collect a set of data from a data source following lines of enquiries and then presenting and evaluating that data.

Extracts from this document...

Introduction

Alexey Zverev 11GS

Data Presentation Maths Coursework

Introduction

For my math’s GCSE course I am required to complete a number of projects. These will include number exploration and data presentation. This piece is my Data presentation coursework. For this piece I am required to collect a set of data from a data source following lines of enquiries and then presenting and evaluating that data.

The Data Source

I will be collecting my data from a database containing data from a fictional school. The school itself is fictional but the data on the students is real and has been collected from real people. The data on Mayfield high is as follows;

 Year Boys Girls Total 7 151 131 282 8 145 125 270 9 118 143 261 10 106 94 200 11 84 86 170

The total number of students at the school is 1183.

Lines of Enquiry

I intend to collect data based on two lines of enquiry these are as follows

Height – Weight

Sampling

Sampling is the method which I will be using to collect my data. I will be using stratified sampling as this is the only fair way of making sure that each year and sex group get the proper ratio of samples. This method prevents the minorities getting a major effect on the data and ensures that all groups are taken into account.

Middle

37

8

Male

1.50

49

38

8

Male

1.32

47

39

8

Male

1.63

41

40

8

Male

1.52

52

41

8

Male

1.55

47

42

8

Male

1.54

42

43

8

Male

1.82

70

44

8

Male

1.70

55

45

8

Male

1.52

38

46

8

Male

1.60

74

47

8

Male

2.00

35

48

8

Male

1.75

50

49

9

Female

1.62

52

50

9

Female

1.6

48

51

9

Female

1.63

52

52

9

Female

1.65

49

53

9

Female

1.02

55

54

9

Female

1.57

52

55

9

Female

1.5

65

56

9

Female

1.55

57

57

9

Female

1.62

45

58

9

Female

1.65

45

59

9

Female

1.69

48

60

9

Female

1.57

52

61

9

Male

1.71

60

62

9

Male

1.80

64

63

9

Male

1.54

60

64

9

Male

1.67

52

65

9

Male

1.70

50

66

9

Male

1.70

50

67

9

Male

1.70

47

68

9

Male

1.61

41

69

9

Male

1.59

68

70

9

Male

1.70

47

71

10

Female

1.72

56

72

10

Female

1.47

45

73

10

Female

1.53

65

74

10

Female

1.67

57

75

10

Female

1.56

45

76

10

Female

1.80

50

77

10

Female

1.80

50

78

10

Female

1.68

53

79

10

Male

1.70

57

80

10

Conclusion

Conclusions

1. I believe that my first prediction of “taller the person, the heavier they will be” is correct. As can be seen in graph 1, there is an incredibly strong relationship between the height and weight of a person. The trendline generated by Microsoft Excel backs this fact and shows that the taller the person, the heavier they are. There were only three anomalies in this data, which means that the variation in the data is fairly minimal.

2.  I also believe that my second hypothesis of “I believe that girls will be shorter than boys across all year groups.”  Is true due, mainly to my graph. The bars show that girls are shorter than boys (except for in year seven) and that girls apparently shrink in year eleven. This anomaly in year eleven is due to the sample size for year eleven only being 5!!!

Extended Research

This Chart simply shows the proportion of the heights in the school. From this I can see that over half of the school, including all years is between 1.5 and 1.75 metres tall. From the above graphs I can see that most of the people in this group are between years 8 and 10

The below radial diagram again shows the difference between girls and boys height. As above it shows that boys are generally taller than girls.

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. ## A hypothesis is the outline of the idea/ideas which I will be testing and ...

I have collected although this may on some occasion be accurate due to the fact my sample may not be efficient and also the range of data varies where the IQ range for Boys is 21 cm and Girls in 33 cm which shows that the spread of data that

2. ## Edexcel GCSE Statistics Coursework

1.65 54 25.5 25 0.5 0.25 female 1.6 56 15 27.5 -12.5 156.25 female 1.75 56 30 27.5 2.5 6.25 female 1.55 60 10 29.5 -19.5 380.25 female 1.72 60 29 29.5 -0.5 0.25 Summation Sum 2942.5 6 * sum 17655 Count n 30 n(n^2-1)

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

from the mean (100% close to the 99.8%) proves that the data for females fits in well with the normal distribution For males the averages are not as closely linked as one would expect with a normal distribution however the percentages I obtained for the standard deviations above and below

2. ## Statistics Coursework

Female Mean Weight - 2566.64/47 = 54.61Kg (to 2 d.p.) * As you can see, the mean male height and male weight are higher than their respective female counterparts. This supports my second sub-hypothesis that males will on average, be taller and weigh more than females.

1. ## Mayfield Maths Coursework

5 5 107 7 Female 5 5 5 5 112 7 Female 5 5 5 5 112 7 Female 5 5 5 5 113 7 Female 5 5 5 5 116 8 Female 5 5 5 5 119 8 Female 5 5 5 5 120 9 Female 5 5 5

2. ## The aim of the statistics coursework is to compare and contrast 2 sets of ...

Also the foot length, some people may have measure there foot when they had there shoes on and some people may have measured there feet with there shoes off. With my hypothesis' I chose not to do any hypothesis with span or foot length in it because I new that

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

So they rarely came into interrupt her instead they supported her. In the female conversation however the speakers got carried away in the excitement of certain issues and didn't realise when they were interrupting. In the male conversation S.R and M.A constantly tried to interrupt S.M because they disagreed with most of what S.M said.

2. ## Statistic Coursework

3 ICT 0 2 History 2 0 Total for Logical 16 24 I used a frequency table as it easily and clearly shows the data, which makes it easier to manipulate further. As the data is catagoric, it restricts my methods of proving my hypothesis.

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