Data Handling Project

Data Handling Project

In this piece of coursework I am investigating how the weight of a

sample of pupils can be affected by various factors e.g. age, gender,

height etc.

I have chosen to compare the weights with the three factors listed

above: age, gender and height and throughout this investigation I am

aiming to show that weight of a certain group of people may be

affected by certain factors and that other factors may have no affect

on the weight at all.

Plan:

I have been given a survey on all the pupils in ‘Mayfield School’. I

have over 800 cells of data containing the following information on a

pupil:

* Year Group

* Surname

* Forename

* Age (in years and months)

* Gender

* IQ

* Height (m)

* Weight (kg)

In order to carry out my investigation I need to take a sample out of

the collected information. To achieve data that will enable me to work

with a valid statistical technique I require a sample size with over

30 data points for my analysis to be valid. I am going to take a

sample size of 60 because later on in my investigation I am going to

split my data into genders so I will need 60 data points for males and

60 data points for females. The reason for such a large sample size

is: if I come across any outliers then I will rule them out completely

and my sample size will not be affected because it is so large. The

samples will be taken at random; I am going to select my data point

for both males and females by doing stratified sampling. The reason

for my selected random sampling is so that my investigation is fair

(NOT BIASED). Stratified sampling will ensure that it is fair because

I will be attainment a fair range of data from different parts of the

Mayfield data.

My data is going to be collected in a frequency table and this