• Join over 1.2 million students every month
  • Accelerate your learning by 29%
  • Unlimited access from just £6.99 per month

Data Handling Conclusion

Extracts from this document...




My first hypothesis was that year 7 boys and girls are of a similar height however by year 11 boys are taller than girls. To try and prove this I first calculated the means of the boys and girls heights for all years. The means showed me that the average heights in year 7 boys and girls are similar however by year 11 boys were on average 18cm taller than girls. This supports my hypothesis.

This did prove my hypothesis to some extent but I needed to prove it further. I used Standard Deviation to try and prove the hypothesis. I calculated the Standard Deviation for both years and genders. From comparing the S.D for the year 7’s there is not much difference, boy 0.10 and girls 0.11. However by 11 the boys have a larger spread, 14 compared to the girls 0.9.  This again supports my hypothesis.

My third

...read more.


I next looked at the Standard Deviation of weights. The S.D’s showed me again that the girls and boys weights in year 7 are similar, the bys being 2 kg less than the girls, however by year 11 the boys weigh more than girls with a difference of around 5 kg. This slightly disproves the first part of my hypothesis, that girls weigh more than boys in year 7 however does help me to prove that by year 11 boys do weigh more than girls.

To further test my hypothesis I created box and whicker plots from cumulative frequency curves. This showed me that year 7 girls and boys have a similar spread of weights however 75% of year 11 boys are taller than 75% of the girls.

These findings help prove that in year 11 boys weigh more than girls but the first part of my hypothesis has been disproved to some extent.

...read more.



Overall I have been pleased with how my investigation has panned out. Most of my hypotheses have been proved correct, however I do believe that my investigation could have been more conclusive. The best way to achieve this would be to either study all year groups or collect a larger sample of students. Both of these would have led me to find a greater accuracy and depth within my discoveries.

...read more.

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

    Here is the likelihood of a student being Left Handed from my sample: 0 1 I will now analyse data further in depth the sample that I have collected and form a Two Way Table that shows the boys and girls that are Right & Left Handed: Male Female Total

  2. Maths Data Handling

    so histograms would be an appropriate piece of presentation to illustrate the different heights and weights in my sample. I did not use any pie charts as they would be inappropriate to represent the data and would make difficult to read and interpret the results.

  1. Mayfield data

    19 Less than 70 20 Less than 80 20 GIRLS WEIGHT Cumulative Frequency Diagram My variable will be the Height Median 60 kg Lower Quartile 50 kg Interquartile Range 22g Upper Quartile 72 kg From this I have found the spread on data efficient and on the following page I

  2. Data handling coursework

    A table showing female hand span measurements between years 7-11. Year7 Year 8 Year 9 Year 10 Year 11 18 cm 20 cm 17 cm 20 cm 18.1 cm 19 cm 18.5 cm 18.5 cm 19 cm 20 cm 18.8 cm 18 cm 23 cm 14.6 cm 19 cm 17.8

  1. Data Handling Coursework

    4 40-49 15 27 50-59 20 24 60-69 || 12 2 70-79 | 5 1 80-89 90-99 | 1 � 140-149 | 1 I can easily see which weights fall into which classes: Key: 20|6 = 26 Stem leaf Girls Weight (kg)

  2. Maths: Data Handling Coursework

    Hunter-gathering was very common millions of years ago, where people had to hunt for their food out in the wild. Usually, it was the men who hunted, while women stayed at home. The reason for this is probably because men are physically strong.

  1. Data Handling Project

    Table The table below is a two way table due to the fact there are two variables shown at the same time and helps view results and data conclusively. Year Group Number of Boys Number of Girls Total 7 151 131 282 8 145 125 270 9 118 143 261

  2. Data handling

    The scatter diagram will show the trends (if any) of the two data's and if there is any trend, a line of best fit can be drawn to show the depth of the relation of the two values. * Cumulative frequency A cumulative frequency is the running total of a frequency at the end of each interval.

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