• 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
  10. 10
    10
  11. 11
    11
  12. 12
    12
  13. 13
    13
  14. 14
    14
  15. 15
    15
  16. 16
    16
  • 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.

...read more.

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

...read more.

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.

...read more.

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

See related essaysSee related essays

Related GCSE IQ Correlation essays

  1. Mathematics Statistics Coursework

    12 8 100 5 4 4 4 268 7 Weatherill Danielle Mary 12 6 101 4 4 4 4 188 7 Miller Lela Myesha 12 8 105 5 4 5 5 65 7 Corrie Rachel Amy 12 2 100 5 4 4 4 173 7 Marton Jan 12 6 100

  2. This experiment will show that there is a significant positive correlation between males and ...

    Method Design The study that is going to be conducted is a field experiment, doing a field experiment means there is a reasonable amount of control over vairables The investigation will be carried out in the school common room or in classrooms, meaning it will be conducted in a natural environment for students.

  1. IQ Investigation

    = 1597 Spearman's Rank = 1 - 6?d� n(n�-1) Spearman's Rank = 1 - 6?d� 20(20�-1) Spearman's Rank = 1 - 6?d� 7980 Spearman's Rank = 1 - 9582 7980 Spearman's Rank = 1 - 1.2 Spearman's Rank = - 0.2.

  2. An Investigation into Gender-Based Stereotyping Using IQ Estimates

    It was called the Bem Sex Role Inventory (BSRI). In her introduction to the BSRI she states that both genders can be masculine and feminine, unlike other tests which are restricted to only one gender. Healthy functioning in society, according to Bem, required both psychological traits, the ones that were considered as masculine and those considered feminine.

  1. Bivariate Data

    After the sampling the data, and presenting it on a scatter diagram, it allowed a first view on whether there would be a correlation or not. I had dotted an ellipse around all the points. From this I could tell, without a calculation of Pearson's Product Moment correlation Coefficient, whether

  2. GCSE Statistics Coursework

    243 342 213 245 315 225 250 180 172 250 300 210 250 370 230 250 500 500 255 355 202 256 427 275 257 315 169 257 314 197 258 308 162 263 263 145 265 285 155 267 309 212 268 244 268 270 411 266 270 270

  1. Maths IQ correlations

    5 is the median 2 The data in order is: 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 7 = the value is in between the two highlighted values, therefore it becomes a 5 = the median.

  2. Using the data from Mayfield High School, I am going to be investigating the ...

    9 = 1291 / 13 = 99.3 Year 10 = 1004 / 10 = 100.4 Year 11 = 930 / 9 = 103.3 All years = 6057 / 60 = 100.95 This is the average IQ for the entire school.

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