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  • Level: GCSE
  • Subject: Maths
  • Word count: 2113

Data handling - Mayfield high school.

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Introduction

Year 11 Data handling coursework- Mayfield high school Subject of the investigation The purpose of this investigation of data handling is to investigate the rate of growth of males and females. The male sand females are pupils of the Mayfield high school in the North of England. I obtained the data from the Internet, of the pupils: Names, gender, year group, age, height, weight and I.Q. I sorted the data, to which I only needed the pupils year group, gender, height and weight. To investigate the data, I am going to need to create a random sample of pupils equally from year group and gender, down from 713 pupils because we only need years 7, 9, and 11, to just 300 pupils. The data is all set out in the form of a spreadsheet on the program Microsoft Excel. Working out the amount needed for our random sample As we only need 300 pupils' data out of the 713 pupils, we are going to have to find a way to scale it down, fairly and evenly, so that the investigation is a fair test. Year group Boys Girls Total 7 151 131 282 9 118 143 261 11 84 86 170 Total = 713 We need ...read more.

Middle

4. Males will weigh more than females in each of years 7, 9 and 11. 5. Males will be taller than females in each of years 7, 9 and 11. We have to choose one of the following combinations of hypotheses: (a) 1, 3 and 4. (b) 1, 3 and 5. (c) 2, 3 and 4. (c) 2, 3 and 5. We also have a few means of method to follow depending on the hypotheses that we choose. These are: * For hypotheses 1 and 2, use means to support your arguments. * For hypothesis 3 use box and whisker plots. * For hypotheses 4 and 5, use histograms. The data All of the data to me is secondary data because I was given it; I did not research it myself. Therefore, I do not know if the data is totally reliable because it is secondary. If I had found the data myself it would have been primary, thus I would know if it were reliable or not. Dealing with problems As people are not all around the same weight or height, there are going to be some out of proportion pieces of data (tall/short, heavy/light). ...read more.

Conclusion

For the BMI to remain fixed, the box and whisker plots would all look the same. There is also a significant difference in the range of the medians and maximum/ minimum values. As the plots show, the females have a significantly greater median (and UQ/LQ) plus the maximum/ minimum values. This is due to the fact that females are overall, more dense than males. Although there is not a huge difference in weight in a whole, males are generally, as proven in hypothesis 2, taller than females overall. This means that women are going to apply more pressure per m� than males whose weight is distributed more evenly due to them being generally taller. BMI is a measurement of pressure applied, in relation with height and weight. This is why the women overall have a greater BMI. I have disproved this hypothesis because from the box and whisker plots, you can see a significant difference in the males and females, and even each year because eof constant and fast growth. Hypothesis 4 Here is the hypothesis I will be trying to prove or disprove: * Males will weigh more than females in each years of 7, 9 and 11. For this hypothesis, I will use histograms to prove or disprove this theory. 1 1 ...read more.

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