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  • Level: GCSE
  • Subject: Maths
  • Word count: 2633

Maths Handling Data Coursework HypothesisMy hypothesis is: Is intelligence related to exam results? To do this I can investigate the relationship between IQ and Key Stage 2 results

Extracts from this document...

Introduction

Alysa Emery

Maths Handling Data Coursework

Hypothesis

My hypothesis is: Is intelligence related to exam results?  To do this I can investigate the relationship between IQ and Key Stage 2 results.

 There should be positive correlation in the graph as above average Key Stage 2 results suggest a student should have a high IQ.

  I can extend this investigation by see if there is a relationship between Sex and IQ/KS2 results.

Plan

 To do my investigation I will need to collect the IQ and exam results from the Mayfield school data. I will use a sample size of 60, because it is a large enough number for a decent investigation, but not too large that I have too many people to work with. It will be fair as I will use 30 boys and 30 girls, and I am using a stratified sample so I can get the right number of people from each year and my sample is not biased.

year

boys

girls

total

stratified sample

7

151

131

282

30 boys

year 7

8

8

145

125

270

year 8

7

9

118

143

261

year 9

6

10

106

94

200

year 10

5

11

84

86

170

year 11

4

total

604

579

1183

total

30

30 girls

year 7

8

year 8

6

year 9

7

year 10

5

year 11

4

total

30

This table shows how my stratified sample worked and how many people I am going to take from each year.

 I am going to take my sample, and then I am going to first look at the IQ. I will draw a histogram as the data is continuous. This will help me to find out the median. I will also find out the mean, the modal class interval, and the inter-quartile range.

...read more.

Middle

This is a copy of my sample.

KS2 Results

Random #

Year Group

Surname

Forename

Gender

IQ

English

Maths

Science

AV.

6

7

Neal

Maria

Female

89

3

3

3

3.0

40

7

Corrie

Rachel

Female

100

5

4

4

4.3

55

7

Weatherill

Danielle

Female

101

4

4

4

4.0

83

7

Carney

Esther

Female

105

5

4

4

4.3

101

7

Jackson

Julie

Female

108

5

5

4

4.7

103

7

McMan

Kelly

Female

108

5

5

4

4.7

114

7

Thompson

Bethany

Female

110

5

5

6

5.3

115

7

Richards

Abbie

Female

111

5

5

5

5.0

3

8

Brocklehurst

Kaylea

Female

79

3

3

3

3.0

8

8

Hiccup

Jana - Sarah

Female

86

3

5

3

3.7

24

8

Hendra

Tina

Female

94

3

4

3

3.3

33

8

Packham

Dawn

Female

99

4

5

4

4.3

101

8

Kay

Dannielle

Female

110

5

5

4

4.7

124

8

Norman

Corrine

Female

122

5

5

5

5.0

29

9

Carron

Margaret

Female

97

4

4

4

4.0

36

9

Martin

Lisa

Female

98

3

4

4

3.7

58

9

Saleem

Adila

Female

100

4

4

4

4.0

105

9

Peacock

Ruth

Female

107

4

5

5

4.7

119

9

Guzman

Victoria

Female

112

4

4

5

4.3

139

9

Khan

Humspira

Female

121

5

5

5

5.0

141

9

Williams

Rachael

Female

127

4

6

5

5.0

23

10

...read more.

Conclusion

="1" rowspan="1">

Female

102

5

4

4

4.3

9

7

Gwerm

Matthew

Male

86

3

3

3

3.0

25

7

Cotton

Sammy

Male

94

4

3

3

3.3

37

7

Barding

David

Male

98

4

3

4

3.7

47

7

Anderson

Mark

Male

100

4

4

4

4.0

51

7

Campble

Stephen

Male

100

4

4

4

4.0

54

7

Jones

Mark

Male

100

3

4

4

3.7

90

7

Thomas

Milo

Male

102

5

4

5

4.7

112

7

Thompson

Aaton

Male

104

4

5

5

4.7

15

8

Lall

Alex

Male

92

3

4

3

3.3

20

8

Shady

Philip

Male

93

3

4

4

3.7

48

8

Dempsey

Simon

Male

100

4

4

4

4.0

52

8

Higgson

Robert

Male

100

4

4

4

4.0

71

8

Matthews

David

Male

101

4

4

5

4.3

77

8

Fahmed

Ali

Male

102

4

5

4

4.3

104

8

Pageson

Phil

Male

105

5

4

4.5

8

9

Roger

Thomas

Male

88

3

3

3

3.0

13

9

Bigglesworth

Wayne

Male

91

3

3

4

3.3

22

9

Miya

Gallahad

Male

96

4

4

3

3.7

23

9

Nevaps

Luap

Male

96

5

4

3

4.0

45

9

Gunet

Armede

Male

100

4

4

4

4.0

88

9

Booth

Gary

Male

108

5

4

5

4.7

1

10

Hawk

Matt

Male

74

2

5

5

4.0

41

10

Leavy

Thomas

Male

100

4

5

5

4.7

48

10

Carey

David

Male

101

4

4

4

4.0

81

10

Lock

Lee

Male

106

4

3

3

3.3

92

10

Dover

David

Male

112

4

4

4

4.0

8

11

Paul

Niel

Male

86

3

3

3

3.0

14

11

Hussain

Muhammad

Male

90

4

4

4

4.0

48

11

Hossany

Selim

Male

103

5

4

4

4.3

82

11

Morrison

Simon

Male

127

6

4

4

4.7

ALYSA EMERY

MATHS COURSEWORK

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