• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  • Level: GCSE
  • Subject: Maths
  • Word count: 2546

Height and weight of pupils

Extracts from this document...


Statistics Coursework Introduction The data that we are going to use is secondary data that has been collected from a high school. It is made up of a collection of qualitative and quantitative variables . This also includes both discrete and continuous data. The data is in the form of a spreadsheet, making it easy to identify the required information for the investigation. I am using this secondary data as it would be easier than collecting primary data myself. This would take a very long time, and using secondary data will not affect the results of my investigation if I emit any obvious mistakes in the given data. These may affect the accuracy of the investigation and could occur if, for example, the person typing up the data made a typing error or one people in the population may have misunderstood a question or answered incorrectly. The line of enquiry that I have chosen to use is the relationship between the height and weight of different pupils in the high school. To investigate this I will need the following data about the members of the population... ? Year group - discrete quantitative data ? Gender - discrete qualitative data ? Height - continuous quantitative data ? Weight - continuous quantitative data I will delete the rest of the data as it is not needed in my investigation. I will then sort the relevant data into groups of year group, gender etc. ...read more.


5. Next, I will calculate Spearman's rank correlation coefficient for each of the 6 sets of data. This will give me a numerical value of the correlation of the data meaning that I can further compare the relationship between the heights and weights of the pupils, making my results more accurate. 6. I will then draw box and whisker plots of the data so that I can further compare the boys and girls data from each year group. This will show me the distribution of each of the sets of data and I will comment on this. I have chosen not to use cumulative frequency as, even though this would also show the distribution of the data, a box and whisker plot would show the mean, mode, range, upper and lower quartiles and interquartile range in a simpler way that would be easier to understand. A box and whisker plot also allows any outliers to be calculated, making my results more accurate. This would also mean the diagrams will be easier to compare. 7. After drawing the box and whisker plots, I will be calculate the outliers and delete the appropriate values that have caused these outliers. I will then compare the diagrams again and comment on the skew on the diagrams, the range and the median. 8. I will then be able to draw accurate conclusions about my findings. Conclusion For my project, I have investigated the following hypothesis... ...read more.


To improve the accuracy of my investigation, I could have collected all the data myself to ensure that there were no mistakes made, but this would make it harder to keep to my deadline. As I shared the work with two other people, I did not draw all the box and whisker diagrams myself. This meant that the scales were different on some of the diagrams, making them harder to compare. This would only slightly affect my results as I could still easily use the values (for example medians) from each of the box and whisker diagrams to compare the diagrams. To avoid this problem, I could have set scales that everybody was to use on their box and whisker diagrams to make them easier to compare. If I had more time to complete my investigation, I could have used a larger sample, therefore including more data and improving the accuracy of my results. I also could have used other values. To save time, I chose to only use the data from years 7, 9 and 11. I deleted the rest of the data. to improve the accuracy of my results, I could have used the data from years 8 and 10 aswell, but this would have taken longer. I could also have chosen to use all of the data instead of taking a sample, but his would also take a very long time and I would not be able to do this within the time limit that I was given. Overall, I feel that my results are reliable and accurate, and generally my investigation went well. ...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. Marked by a teacher

    Height and Weight of Pupils

    9 Marsh Sarah-Louise Female 108 1.51 40 9 Power Donna Female 107 1.66 45 9 Rogerson Claire Female 103 1.6 42 9 Tucker Jayde Female 104 1.57 40 9 Zigo Zanuub Female 91 1.75 56 10 Abejurouge Henry Male 89 1.63 60 10 Air Jason Male 116 1.90 70 10

  2. A hypothesis is the outline of the idea/ideas which I will be testing and ...

    I had used many statistical representations to prove my theory. I was also aiming to find whether there was a regular trend between the two variable and aimed to make my hypothesis as unbiased as possible.The Histogram

  1. Maths Statistics Coursework - relationship between the weight and height

    of data is positive or negative, I will use this to see how positive the relationship is between the variables. All Boys Height (m) (x) Weight (kg) (y) x- y- (x-)^2 (y-)^2 (x-)(y- 1.47 50 -0.16 0.8 0.026244 0.64 -0.1296 1.52 32 -0.11 -17.2 0.012544 295.84 1.9264 1.65 52 0.02

  2. Conduct an investigation comparing height and weight from pupils in Mayfield School.

    49 62 17 289 45 0 0 40 -5 25 42 -3 9 57 12 144 59 14 196 47 2 4 Sum of standard deviations 2646 Variance = 2646 = 105.84 25 Standard Deviation = V105.84 = 10.3 (to 1 d.p) The average deviation from the mean is 10.3.

  1. For my project I am investigate the relationship between weight, height and body mass ...

    Girls 94 0.030630969 10 Spears Claire Vanessa Female 1.6 60 23.4 95 0.041834032 10 Brown Louise Eileen Female 1.73 58 19.4 96 0.070413016 10 McVey Joanne Marie Female 1.65 60 22.0 97 0.074528166 10 Brandward Amy Louise Female 4.65 53 2.5 98 0.079942662 10 Hall Faith Female 1.55 48 20.0

  2. height and weight investigation

    I can see that the correlation is slightly positive although the points on the graph are not lined up. I can spot out a few outliers, (1.64,35) someone who is 1.64 m can never weigh 35 kg, (1.45,72) this person has to be very obese (or there was an error when the data was entered), (1.20,38)

  1. Statistics GCSE Coursework. Height and weight of pupils. The sampling method I am ...

    against the dependent variable (weight) as based on my hypothesis the taller you are the more you weigh. As you can tell from my graph there is a clear correlation between height and weight, this correlation is positive meaning that as height increases weight increases also (proving my hypothesis).

  2. Maths Data Handling

    - 47.5 = 58.75 kg Since weight is a continuous piece of data, it can be appropriate to have a value with a decimal point. In fact, the use of the decimal point makes the value more accurate, meaning that my predictions will be more accurate.

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