Handling Data
My Hypothesis is that 'Boys in Year 10 are better at estimating
lengths of straight lines than Boys in Year 7'. The factors that
influence the accuracy of estimation are children in Year 10 are more
mature than children in Year 7. On average Children in Year 10 are
more intelligent than children in Year 7. This probably would be
because Year 10 students have studied subjects into further depth than
children in Year 7.
METHOD
To verify this I will do a sample of the boys in our school. To do
this I will find the total number of children in our school and sort
it out according to Y10's and Year 7's. I will find out this
information by going to the school office and finding out the figures.
Out of this population, I will do a stratified sampling of 60
children. To do a stratified sampling of 60 children in the whole
school, I will find the proportion of boys in Year 10 and Year 7.
STRATIFIED SAMPLING
In a stratified sample, the population is first divided into
categories and the number of members in each category is determined.
The sample is then made up of these categories in the same proportions
as they are in the population. Random sampling chooses the required
numbers in each category. In a random sample, every member of the
population has an equal chance of being chosen.
To obtain a sample of 60 students stratified according to Year 10 and
Year 7; I will have to calculate the number of boys from Year 10 and
Year 7, which must be represented in the sample.
A Sample of Students
====================
Year
====
Boys
====
Boys
10
110
33
7
89
27
TOTAL
-----
199
60
Altogether there are 1013 (one thousand and thirteen) students in our
school. To work out the proportion of boys in Year 10 and Year 7,
It has been known that when girls, as well as boys reach a certain age they
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