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• Level: GCSE
• Subject: Maths
• Word count: 2753

# HYPOTHESIS Blonde girls are more intelligent than non blonde girls. Blonde girls that have a higher IQ watch comparatively less television. This will not be the case however for non blondes as there will be little or no correlation.

Extracts from this document...

Introduction

GCSE Statistics Project

DATABASE

I am going to use the Mayfield High School Database which is secondary data for my investigation.

HYPOTHESIS

• Blonde girls are more intelligent than non blonde girls.
• Blonde girls that have a higher IQ watch comparatively less television. This will not be the case however for non blondes as there will be little or no correlation.
• The IQs for non blonde girls and blonde girls are normally distributed.

PLAN FOR DATA COLLECTION

I shall collect data the relevant data to my hypothesis first separating by Gender and then gathering relevant information on IQ, Hair Colour and Number of Hours of Television viewed.

I shall use a sample size of 50 blonde girls and 50 non blonde girls as I feel that a sample size of 100 offers a good proportion to analyse being that there are roughly 1,182 entrants in the database. Also 100 is a good round even number which will make calculations of the data easier.

I will use stratified sampling so that a there is not a disproportionate number of any particular group and so that the different year groups are properly represented.

I shall then begin on my first hypothesis –

Blonde girls are more intelligent than non blonde girls.

Middle

Jones

97

10

Fisher

102

1000000

Coleman

100

18

Jones

116

39

Corrie

100

5

Holmes

112

26

Dre

103

9

Green

97

42

Hanley

85

14

Kay

110

23

Higgins

110

14

Earnshaw

96

20

Hall

92

7

I used stratified sampling so as to get a better spread of girls from the different year groups. I decided in my plan to take a sample size of 50 of each hair type.

Calculations:

KS3 = 399 girls   KS4 = 181 girls   Total = 580 girls

399     x 50 = 34 (34.39 rounded from34.39 )

580

181     x 50 = 16  (rounded from 15.6)

580

Once I had my sample size I began to take my sample. It was then that I began to notice a problem. My hypothesis dealt with blondes against non blondes which is absolute, eg. Your either blonde or you aren’t. However it seems that the question poised on the survey was not a good one for my hypothesis. Rather than dealing with objective data eg. blonde, brunette etc it seems to have been an open ended question and has therefore become something subjective e.g “mousy blonde” or “browny blonde”. As my hypothesis dealt in two sets of data they had to be grouped. This poised the question:

What defines blonde?

I have defined the following as blonde (the rest were classed as non blonde.)

• Baby blonde
• Blonde
• Blonde/ Brown
• Brown/ Blonde
• Browny Blonde
• Dark Blonde
• Darke Blonde
• Honey Blonde
• Strawberry Blonde

I have

Conclusion

HYPOTHESIS 2

- Blonde girls that have a higher IQ watch comparatively less television. This will not be the case however for non blondes as there will be little or no correlation.

I found here that there was a very weak correlation with Blonde IQ vs TV scatter graphs but unlike my hypothesis it seemed that more intelligent people watched more TV. There was also, (in my opinion) no correlation between the Non Blonde IQ vs TV scatter graphs. I therefore (although the correlation is a weak one) have disproved my hypothesis and have come to the conclusion that:

More intelligent Blondes watch more television but there is no correlation with Non Blondes.

This student written piece of work is one of many that can be found in our GCSE IQ Correlation section.

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