• 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
  17. 17
    17
  18. 18
    18
  19. 19
    19
  20. 20
    20
  21. 21
    21
  • Level: GCSE
  • Subject: Maths
  • Word count: 5088

The 3 statements I am going to investigate are: -Does the gender of the student have an affect on their KS2 result in English?Do students who do well in Maths, also do well in Science?How does the IQ of the students affect their results?

Extracts from this document...

Introduction

Mischaley Mercier                                                                                         Mr. Holden

11s

Maths Coursework

The Mayfield High School Project

Introduction

The task I have been set is to produce a project on Mayfield High School (fictitious), and to investigate the relationships between a number of variables like age, 1Q, weight, KS2 results etc. These aspects will be compared between 50 male and female students in Year 10 and 11, which I randomly selected using the random key in the calculator (#) and inserted out of the 371 pupils altogether to be included in my investigation.

The 3 statements I am going to investigate are: -

Does the gender of the student have an affect on their KS2 result in English?

Do students who do well in Maths, also do well in Science?

How does the IQ of the students affect their results?

I am interested in these specific areas because I believe that an investigation with these variables would lead me to understanding more what affects the results of the pupils.

My hypothesis for my first statement is that the gender of the student does have an affect on the KS2 results in English, and that boys generally do better than girls is both Years 10 and 11.

For my second statement I am making the prediction that most students who do well in Maths will do well in Science, but when students don’t do well in Maths they will generally not do well in Science.

My hypothesis for my third statement is that the IQ of both male and female students will have an affect on what their KS2 results are, and that the higher their IQ the better their results.

The information I will need to collect will be the gender of my 50 selected students, their Maths, English and Science KS2 results and their IQ.

...read more.

Middle

The above graph is my fourth and final one, the Maths and Science KS2 results for girls in Year 11. These results are relatively similar to the girls in Year 10, with only 2 students achieving highly in both Maths and Science.

But what can’t be said in general is that students who achieve highly in Maths do the same for Science (e.g. Hannah).

Looking at the results of all four graphs and the comparisons I have made, I have discovered that my hypothesis is correct for boys in Year 10 at least. Also I have seen that altogether, out of the 16 students that got Level 5 (or higher) in either Maths or Science, 12 of them achieved the same grade in Science. So in that sense also my hypothesis is correct.

I have concluded the investigation of my second hypothesis, and will move onto my third and final one.

I will now make a statement for my third hypothesis, “How does the IQ of the students affect their results?” For this I am predicting that in general, the higher the IQ of the student, the higher their KS2 results as an average. I have come to believe this because the higher someone’s IQ, the more intelligent they are. Therefore I feel that it is these people who will achieve the higher grades, in this case Key Stage 2 results.

I will go about investigating this by using scatter graphs to compare the IQ of the students to the mean level achieved in KS2 (adding the results of Maths, English and Science and diving the sum by 3. Then round up the sum if needed).

I will again divide the students, and analyse first the boys and then the girls.

...read more.

Conclusion

I went about a similar process for my other two hypotheses, although my second one was not correct. I had predicted that students who do well in Maths will also do well in

Science, but after an extent of analytical depth I could clearly see and prove that I was not right.

I am happy with the two out of three correct hypotheses and content that they are reliable as the methods I used showed both mathematical and visual proof that they were correct. Also by the analysing of girls and boys separately within the investigation I was able to see a clear difference between the two genders and if for example my second hypothesis, “Students who do well in Maths will also do well in Science” was true for one but not for the other, I would have been able to recognise this, in effect strengthening my investigation.

I am glad that one of my hypotheses was incorrect in a sense, because it proves that my methods were reliable, as I was able to see evidently that it was wrong and therefore able to justify why.

If I were to do this investigation again there would be more I could do to improve it however. I could extend my research by using other methods such as box and whisker, along side standard deviation as justification of correct statements. I could also have included other variables from the given handout, as there were several I left out in my investigation, as they were not need. I could have included things like the amount of TV watched, and compared it to the students IQ, seeing if there was any correlation.

...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. Perform a statistical enquiry that will either prove or disapprove my hypothesis.

    Both red and blue balls would have the same chance of being picked. That sounds simple, but when you are dealing with large populations, the process is far from simple. There are many ways you can perform random sampling for a database.

  2. Comparison of SATs results to obtain statistical data on students.

    This is why I chose not to use them. The reason why I chose to use systematic sampling was because I would be able to get an overall picture of what each year group achieved, without having to use every piece of data, which would have been very time consuming and would have entailed more calculations. Tables of results.

  1. My hypotheses are: -1. People's average SAT and average GCSE results will have a ...

    Hypothesis One As I stated in my plan I am going to use stratified sampling of 55 people. There are 167 pieces of data but I have not included the 167th piece of data because it does not specify whether it is for a boy or girl, it also does

  2. Mathematics Statistics Coursework

    236 7 Smith Mary Ann 12 4 100 4 4 4 4 263 7 Vickers Holly 12 9 103 4 4 4 4 123 7 Hughes Karen 12 1 132 5 5 5 5 67 7 Craft Clara 12 9 96 3 3 4 3 This table has the relevant

  1. GCSE Statistics Coursework

    38 18 274 40 64 274 40 53 282 48 27 285 51 49 300 66 64 317 83 26 Negative values are unusual in scatter graphs so positive data will be used. I'm going to do a scattergraph because it shows correlation and comparisons between the two sets of data.

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

    biological argument is that hormonal changes during puberty activate differences that previously have been dormant. In 1971 Sandra Bem started looking at gender roles, and as a result created a measurement that revolutionized the way in which psychology viewed gender.

  1. Maths Coursework: investigation into the correlation between IQ and KS2 results

    I have used the random key- 'Ran#', and after obtaining a number (to hundredths - three digits after the decimal point), I multiplied it by the total amount available. For instance in Year 7, there are 151 males. Let's say for example I obtain 0.625 on the calculator random key.

  2. In this project I am going to prove that the results of boys are ...

    Conclusion for Section 1 In English, French and Home Economics the difference between the boys and girls is relatively larger then the difference between Maths and Dbl.Science. From this I can see that girls on average perform better then boys (sadly)!

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