Hypothesis: As their age increases both girls and boys will grow in height and weight, but overall in each year the boys will always be taller.

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Data Handling Project

Introduction:

I am going to be investigating the height, weight, gender and age/year group of pupils from Mayfield High School, the name of the school has been made up but the data is from a real school. I have randomly selected my data and I have put it in a spreadsheet, I have only looked at years 7, 9 and 11, this will give me a lot less data and should give me some varied results. I am investigating height and weight because the data is quantitive data therefore I can do averages and graphs. The data I am using is secondary data, this means that someone else has collected the data, the advantage of this is that it has saved me a lot of time but the disadvantage is that there could be some anomalies, if the data I select has an anomaly then I will just select the next piece of data, if I use the piece of data with the anomaly then it would affect all my results so I won’t use it.

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Hypothesis:

As their age increases both girls and boys will grow in height and weight, but overall in each year the boys will always be taller.

Plan:

  1. I will collect the data and take systematic samples.
  2. I will draw frequency polygons to compare distributions
  3. I will draw scatter diagrams so I can see if there is any correlation between height, weight, gender and age/year group, I will then be able to draw a line of best fit and compare them all
  4. I will work out all the averages for both genders
  5. I will ...

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