• 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
• Level: GCSE
• Subject: Maths
• Word count: 2108

# Investigate the relationship between intelligence quotient ( I.Q) and combined key stage 2 results (ks points) across my sample selection of year 7.

Extracts from this document...

Introduction

Maths Coursework

Data Handling

## My Objectives

a) To investigate the relationship between intelligence quotient ( I.Q) and combined key stage 2 results (ks points) across my sample selection of year 7 (ks points= the results from English, maths and science combined)

b) To investigate the relationship between boys’ and girls’ I.Q across my sample selection of year 7

## Expectations

For a)

I expect there to be a positive relationship. I believe that there will be a positive correlation because I think the more intelligence that you have the higher you will score in tests.

For b)

I expect that boys will have higher I.Q’s than girls because I’m a boy !

## Factors that will affect my investigation

1.The students who had a bad day on the examination day, due to nervousness, family problems or were not feeling well.

2.Sample size because the smaller the sample the less accurate the result.

3.Fairness of sampling because it is not fair if I choose my selection to based on my hypothesis.

4.Accuracy of marking will effect my end result.

5.Accuracy of I.Q results because there is a possibility that the students cheated.

## Plan

For my project I will need to collect data on I.Q and key stage 2 results from students.

...read more.

Middle

90

male

7

Parreen

Saika

4

5

5

14

104

male

7

Langly

James

Harold

4

5

5

14

103

male

7

Mamood

David

5

5

5

15

110

male

7

Spencer

John

Peter

4

4

4

12

99

male

7

Wong

Rhonda

4

5

4

13

100

female

7

Shaw

Paul

3

3

5

11

102

male

7

Shon

John

3

4

3

10

90

male

7

Surffer

John

Solo

3

4

3

10

93

male

7

Tahir

Sarasin

4

4

5

13

102

male

7

Talbert

Ieisha

Jane

4

5

4

13

102

female

7

White

James

Steven

4

5

5

14

107

male

7

Whitworth

Kayleigh

Marie

5

4

5

14

108

female

7

Anderson

Kylie

Jane

5

4

4

13

103

female

7

Andrew

Sohail

Farooq

4

4

4

12

100

male

7

Brown

Mia

5

5

5

15

106

female

7

Cullian

Sabor

Steve

5

4

5

14

108

male

7

Lennox

Thomas

4

5

5

14

104

male

7

McMan

Kelly

Sue

5

5

4

14

108

female

7

Sing

Asha

4

4

5

13

103

female

7

Marriot

Jospheh

David

4

5

5

14

108

male

7

...read more.

Conclusion

##### Conclusion

It is clear from the above that there is a strong correlation between I.Q and ks value. This has been witnessed from the scatter graphs, the cumulative frequency graph and histograms. The relationship between the I.Q and ks points for boys and girls appears from the histograms show a similar distribution. The boys’ histograms show high values between 98 and 108 I.Q levels. From the sample of girls the average I.Q value of the girls (101.71) was marginally higher than that of the boys (101.67.) From the cumulative frequency table it is possible to predict percentage ks points for students in the class knowing their I.Q values. From the combined scatter graphs it is possible to predict ks point knowing I.Q level and vice versa. The same can be determined from the individual scatter graphs from boys and girls. The results from the cumulative frequency graph and the histograms are more accurate as the calculations are derived from the frequency of occurrences of I.Q readings provided. Where as in the scatter graph the gradient is obtained from the line of best fit for passing through the I.Q values. I am happy that my conclusions are reliable because there are no anomalous results.

...read more.

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 ...

Weight Comparison: Most Boys and Girls weigh in the region of 40- 60 from my sample and I have found that not many girls are over the weight of 60 whereas in Males usually are borderline 60 or above when they come to the age of 16.

2. ## Investigation on the shape and size of limpets on a sheltered rocky shore called ...

So from this preliminary work I know 11 is the minimum sample size I need to take. However I chose 25 samples because I am investigating limpets which are different specie to rough periwinkles and so there would be a difference in sample size.

1. ## What affects a persons ability to estimate?

Comparing Male to Female Gender has many different areas which can be covered. I'm starting off with simply comparing all the males to all the females: MEAN AVERAGE STANDARD DEVIATION MALE 9.16CM 2.59 FEMALE 8.57CM 2.14 From this table, I can see that all females are better at estimating then all males.

2. ## Discuss the relationship between sexual selection and human reproductive behaviour

Smith 1984 found that 80% of cultures are polygynous even though in wealthy western countries the reproduction rate is low. How ever male humans are sometimes the selectors as a surplus of women has led to greater competition among women and increased promiscuity among married women.

1. ## Compare the connection between weight and hours spent watching TV, and IQ and TV ...

Questionnaires should be clear, specific, unambiguous and easily understood. Questions should be worked neutrally in opinion surveys, to avoid bias caused by pointing towards a particular response c) bias introduced by the person conducting the survey: - I will not ask questions to those who do not appear to be

2. ## Comparing IQ at school.

of their IQ and draw statistical diagrams to support it in order to make clear and detailed. Finally I will compare them both. BOYS Science Grade x Tally Number of Students (Frequency) f fx 1 0 0 2 | 1 2 3 |||||||| 9 27 4 |||||| 7 28 5

1. ## Investigate how the estimation of lines and angles varies from each other, and how ...

The recording sheet will ensure that data collection will be fast and efficient, to content the subjects to the utmost. Subject Male Subject Female Line (cm) Angle (o) Line (cm) Angle (o) Joe Bloggs Josephine Bloggs John Doe Jenny Doe To analyse the data, I shall be using a spreadsheet program.

2. ## Angle and Line Estimation.

F L1 15 120 9 87 9 F L1 12.5 110 9 93 9 M L1 11 100 9 95 9 M L1 13 120 9 113 9 M L1 17 100 9 115 9 F L1 30 110 9 119 9 M L1 13.2 123 9 124 9 M

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