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

Data handling - Mayfield high school.

Extracts from this document...

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.

The above preview is unformatted text

This student written piece of work is one of many that can be found in our GCSE Height and Weight of Pupils and other Mayfield High School investigations 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 Height and Weight of Pupils and other Mayfield High School investigations essays

  1. mayfield high statistics coursework

    1183 On the upcoming page you will find the calculation of my Stratified Sample. Stratified Sampling Calculations I want 20 Students from the school total 1183. I have come to find using Microsoft Excel that 251 Students throughout the school are Left Handed whereas Right Handed Students are 922 and

  2. Mayfield High School data handling Coursework

    Male Female Total Year 7 11 10 21 Year 8 11 10 21 Year 9 9 11 20 Total 31 31 62 From this table I now know how many people to pick but there is a method to it that I can use.

  1. Math Coursework-Mayfield High Data Handling

    For the third sub-hypothesis, I will use stratified sampling to get 120 data from the year 8 and 10. The final hypothesis would be shown in the form of a scatter diagram of weight against height to show the correlation between the two.

  2. HYPOTHESIS: Boys at Mayfield School are Taller and Weigh more average in comparison to ...

    Boys Heights BOYS Height (cm) Cumulative Frequency Less than 140 4 Less than 150 4 Less than 160 11 Less than 170 24 Less than 180 27 Less than 190 30 Cumulative Frequency & Box-and-Whisker Diagram [Boys cumulative frequency & box-and-whisker of height diagram] Boys Weight BOYS Weight(kg)

  1. Data Handling Project

    Weight - Girls This data shows that the highest frequency is between 40kg and 49kg. This shows that both boys and girls from the stratified sample that I have taken have a lot In common in terms of frequent data, as the highest frequencies for both are very similar.

  2. Statistics Mayfield High

    To see whether my second hypothesis is true, I will plot the IQ against the KS2 Results on a scatter graph. As there are 3 possible values for the KS2 results (all of which are discrete data), I will simply use the KS2 Mathematics data.

  1. Maths Data Handling

    has an equal chance of being selected to be in my sample. As well as sampling, to make this a fair investigation, I am using secondary data. This is so that I do not have to worry about making questionnaires that could prove to be biased and unfair.

  2. Maths: Data Handling Coursework

    Column 2 shows the number of boys in each year group. Column 3 shows the number of girls in each year group. Column 4 shows the number of students in each year group. I'll be using this information to calculate my stratified sampling.

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