Analysis of the Relationship Between Height and Weight of Students

Analysis of the Relationship Between Height and Weight of Students

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Analysis of the Relationship Between Height and Weight of Students

In this ‘Handling Data Project’ I will be using secondary data to
investigate the relationship between height and weight of students at
Mayfield High School. I will also investigate the age and genders of
the students, because I expect that it will have an affect on my

My hypotheses for this project are:

· I expect to find that boys are taller than girls

· That boys will weigh more than the girls

· That taller you are the heavier you are

· That older you are the taller/heavier you are

I will be collecting the following information which is provided for
each pupil:

· Gender (boy/girl)

· Age

· Weight

· Height

· Year group

I will find this information from Edexcel examination database on
Mayfield High School.

The reason for choosing this source of information is because it
provides me with all the relevant data in number of categories for
each pupil, which gives me a range of choices I can choose from and
use in this project.

I know the data provided to me is reliable, because the data is
gathered from a real life based school (Mayfield High School) and been
given to me.

I will use a sample size of 7% of the total population (1183) of the
school. 7% of the total population is equal to 83 pupils in total from
year groups 7-11 with mixed genders. This sample size is suitable
because it will give a closer idea of how the actual results will be
for the whole school.

There are more students in year 7 than in year 11 which shows that
students are not distributed equally in each year. This will make my
sample biased and unfair. To make sure my sample is fair I will use
Stratified sampling. I have 1183 students in total, and 7% of 1183
gives me a sample of 83 students.

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So I work out 7% of each year group
which gives me a number of students I will be choosing from each year

I will use this data to compare the height and weight of students from
all year groups with mixed genders, and I will also comparing age with
height and weight as well.






In this table the reason I ended up with 42 boys and 41 girls is
because there was a higher number of boys than girls.



10.57 =11


9.17 = 9



10.15 =10


8.75 = 9



8.26 = 8


10.01 = 10



7.42 = 7


6.58 = 7



5.88 = 6


6.02 = 6



42.28 = 42


40.53 = 41



Now I can get my random samples by
pressing and multiply by 151 [The
number of boys in year 7].

I will round the answer to the nearest whole number, and then repeat
the same steps until I get 11 samples of boys in year 7. I will do the
same calculation with the other year groups and girls group as well.
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