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  • Level: GCSE
  • Subject: Maths
  • Word count: 2358


Extracts from this document...




This project is about investigating the data about an imaginary school. Data for all students is given and these data includes eye colour, weight, Exam Results, the Average hours of TV per week, Height, Results in KS2 and many more.

Ozioma Ihecherenoma



I have decided to find out the following:

  1. If the IQ of a student affects their KS2 Total: I think that the higher the IQ, the higher the KS2 Total because people with a higher IQ tend to remember things better than those who have a low IQ.
  2. If the Average hours of TV watched per week affects their KS2 Total: I think that if people spend too much time watching TV, they will not study and will end up having a low KS2 Total.
  3. Comparing the boys IQ and their KS2 Total against that of the girls IQ and their KS2 Total: I think that boys who have a high IQ will have a high KS2 Total and it will be greater than the girls will.

The reason that I have chosen to investigate these factors is that I feel that the IQ and Average hours of TV watch per week affects the result of any student who decides to take an exam.

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So therefore, now it is very clear to me that if someone has a high IQ, the student is very likely to get a high KS2 Total.

I have created this graph because it can help me to predict data that is not on the graph. Instead of using a line of best fit, I used an Exponential line, which is a curve that helps predict data.image11.png

Therefore, from using this exponential line, I can predict that a student with a KS2 Total of 16 could have an IQ of about 125, while a student with a KS2 Total of 20 could have an IQ of 130.

This graph is comparing the KS2 Total against the Average hours of TV watched. From the graph, I can see that there is no correlation. This means that my second hypothesis is certainly wrong because the graph tells me that it does not matter the amount of hours spent in front of the television because they can still get a high KS2 Total. However, to be very confident with my hypothesis, I will have to carry out a Spearman’s Rank Correlation Test to check whether these two factors actually work with each other. I have drawn a line of best fit and this gives me a rather accurate correlation of the comparisons that I am carrying out.image12.png


This is Spearman’s Rank Number.

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I will say that this investigation does follow my hypothesis apart from me having a few outliers. Moreover, I will say that the outliers that I got did not make much difference to the results that I got. In addition, I think that I could have tried other methods such as using samples such as a simple random sample, Stem and Leaf Diagrams or cluster sampling that involves selecting the sample units in groups

The limitations that I feel occurred during the process when I was carrying out this coursework is that there was not much time available to me so I just used two different ways to test out my hypothesis rather that using maybe three ways. In addition, I can say that if I had more time, I could have used more data and have varied the samples so that my results could be more accurate.

        I could also collect my own data because I can ensure reliability and have a varied source of data from different schools. This would help me because I can see if my hypothesis affects all the schools or some schools.

If there were to be any more work that I would add to this work, I would use a variety of methods to test out my hypothesis.

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

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