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

To prove my first hypothesis, (i.e. tall students are heavier than short students) I will use a sample

Extracts from this document...


Mohammed Patel, 10G1



The aim of this coursework is to find if there is a relationship between the height and weight of students in year 11 of different genders, and to see if taller, or older, or students who watch too much T.V are generally heavier or lighter. I am doing this investigation because I have a brother in Year 10 who is fat, short, heavy and watches too much T.V and I am intrigued by this to see if all female students in year 11 are like that or whether they are heavier or lighter if they are shorter, or watch too much T.V. I will gather the required information from the Mayfield high school data book provided by the teacher. I could go on the internet and collect the data but it might not have been updated for some time so it might be out of date. I couldn’t have gone to the school office because they don’t have information of height and weight. I could do a survey, but the problem with this is that it is very time consuming and it is disruptive in the school If I wasn’t doing this investigation, I would probably have been doing something else for example to see if students who watch too much T.V have a higher I.

...read more.


Tall students are heavier than short students.Older students are heavier than younger students.Students who watch more T.V is heavier then students who watch less.

To prove my first hypothesis, (i.e. tall students are heavier than short students) I will use a sample. I have1500 pieces of data to work with, A 10% sample would be 150 students which is simply too large for me and will consume a lot of time. A 5% sample is about 75 students which is also too large a sample for me. A sample of about 60 will be right so that is what I will use. For the first hypothesis, I couldn’t use a convenience because of the time allotted for me to do this, but if I did do this but the problem with that will be that I would not know the difference between Year 7, Year 8 and Year 9 students as they wear the same colour of jumper. (It will be very difficult for me to collect the data.) I could use a systematic sample but the problem with that could be, for example take a sample of every fifth student, that I came across in the data book, it can be biased if low or high values occur in a regular pattern.

...read more.


For my third hypothesis (i.e. girls are lighter than boys) I will take another stratified sample from each year group of girls and boys and go down the Mayfield data book and again pick out for example, the first 7 girls I come across. This way my data is unlikely to be biased. After doing this I will manipulate the data to create a two-way table, categorising the weights of the girls and boys, into class widths. After this I will find out the frequency- density of the data and create a histogram for both my male and female pieces of data. From this I will draw a distribution curve and see which way more of the data lies. Also from my frequency- density table, I will also work out the cumulative frequency and draw a cumulative frequency graph for that. From the cumulative frequency graph I will find out the upper- quartile, the lower quartile and the interquartile range. Also from the cumulative frequency graph I will draw a box and whisker diagram and compare the weights of boys and girls.    

...read more.

This student written piece of work is one of many that can be found in our AS and A Level Probability & Statistics 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 AS and A Level Probability & Statistics essays

  1. Data Handling - Planning - I intend to investigate the relationship between the number ...

    t ? 21 IIII 5 18 22 ? t ? 28 I 1 25 29 ? t ? 35 II 2 32 36 ? t ? 42 I 1 39 KS2 maths results Tally Frequency 3 0 4 IIII I 6 5 IIII III 8 6 I 1 Bar charts of results The mode KS2 maths results for

  2. AS statistics coursework - correlation coefficient between height and weight in year 11 boys ...

    61.56 1.73 48 2.99 2304 83.04 1.63 48 2.66 2304 78.24 1.65 54 2.72 2916 89.1 1.56 63 2.43 3969 98.28 1.54 45 2.37 2025 69.3 1.65 59 2.72 3481 97.35 1.60 66 2.56 4356 105.6 1.60 55 2.56 3025 88 1.52 48 2.31 2304 72.96 1.57 54 2.46 2916


    I know this because I replaced the 70 in the formula as 'x' and then worked it out. I can also find the height of people that vary in weight. I will now find the height of a boy that weighs 80kg.

  2. Statistics Coursework

    By using cumulative frequency polygons, I can also calculate the quartiles of the data, which will not only measure the spread of the data but also display the central 50% of the data (excluding the highest and lowest value - interquartile range).

  1. Used Cars - What main factor that affects the price of a second hand ...

    d d2 39 3 36 1296 35 17 18 324 41 2 39 1521 20 8 12 144 4 22 -18 324 44 4 40 1600 27 6 21 441 25 15 10 100 13 21 -8 64 6 23 -17 289 2 27 -25 625 11 31 -20 400

  2. Design an investigation to see if there is a significant relationship between the number ...

    If a smaller degree of accuracy was used, it's possible that very large errors could be made. I am unable to use a greater degree of accuracy due to the limitations of the range of equipment available to me. However, by using this degree of accuracy I am limiting the

  1. Estimating the length of a line and the size of an angle.

    This is because if I had too much sheets with the data on it could get lost easily and it would be quite difficult and confusing to compare both year 10 and year 11 results. So if it is only on few sheets one for each year of the length

  2. Statistics coursework

    Therefore I decided to complete another cumulative frequency graph but with the cumulative percentage of the sample instead of simply the cumulative frequency. This way I will be able to see the cumulative frequency as a percentage of the whole strata so strata size doesn't affect my results.

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