GCSE maths statistics coursework

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GCSE maths statistics coursework

For my maths statistics coursework I am going to be comparing the height and weight of the pupils at Mayfield High School. I will compare height and weight because it is continuous data. Firstly I will take a sample of 5% of the 1183 pupils which will be 59 samples. I think that the taller the person the heavier he or she is.

      I will take the sample by pressing the random button on the calculator and taking the sample which is equivalent to that number. The table below shows the samples that I got.

I will start by plotting a scatter graph of the height of the pupils against their weight.

The graph shows that there is positive correlation. It tells us that as the taller the pupil the heavier he or she is but there are a few exceptions. The line of best fit tells us that a person who is 1.6 meters weighs about 51 kilograms. I can also work out how strong the correlation is, 0 being the weakest correlation and 1 being the strongest correlation. The co efficient is 0.320191 which tells us that there is a weak positive correlation.

      I have found out that the generally the taller a person is the heavier he or she is and this is what predicted would be the case.  I am now going to take a sample of boys and girls and see if there is the same relationship between the height and weight where there is a weak positive correlation. There are 604 boys and 579 girls in Mayfield High School. I am going to take a sample of 5% of boys and girls which is 30 boys and 29 girls. I will take the samples by pressing the random button on the calculator and then I will times it by 604 for boys and 579 for girls.

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I will now draw a scatter graph of height and weight for the girls and for the boys.  

     The graph shows that there is a positive correlation. The graph shows that the taller the girl the more she weighs but there are a few exceptions. I will now work out the how good the correlation is. I worked out that the correlation co-efficient was 0.431499. This tells us that the correlation is positive but it is not to strong.

     I will now draw a scatter ...

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