Secondary data which I’ve been given is based on a fictional school named “Mayfield High School” but only recording junior school, the school is fictional but the data’s based on or been obtained from a real school.
The disadvantages of using secondary data are:
- You could be unaware of who and how it was collected
- The data collected could be either prejudiced or incomplete
There are also advantages of using secondary data and are:
- Its easier, faster and cheap to acquire
- It will probably indicate the starting point
I don’t see any harm in using it for my project since my teacher delivered me the data so it must be accurate and reliable enough to work with.
Different data is recorded for students; on a short scale it informs me their year group, gender, height, weight and their IQ of course.
Total number of students in Mayfield High School are 1183 which is a fictional school however the data based isn’t.
Hypothesis
The line of inquiry I’ve decided to follow is “The relationship between Height and IQ on a wider range”, practically meaning “Taller you are, Wiser you should be”.
My second hypothesis in further investigation is going to be “Male students in Mayfield High School are generally cleverer than Female students”.
I will explain how I will carry out my investigation step by step, Starting with my first assumption made and then my second hypothesis.
Summary
As I mentioned before the total number of students in Mayfield High School are 1183 but 1183 students are far too many to analyze correctly so you finish off with an accurate result.
My variables only looking at the students’ height and IQ so I’ve deleted all the other variables like their weight besides; their gender since I’ll be extending my investigation further with my second hypothesis made.
So I’ll start off by explaining my first step I’m going to make, I’ll be doing “systematic sampling”, which basically means a regular pattern is used to choose the sample. Every item in the data will be listed, a starting point is randomly chosen and then every nth term is picked out.
Take mine for example; I picked out every fourth sample but firstly separating male and female students so its easier for me to carry out my investigation when reaching the second hypothesis.
Well coming back to my first assumption I ended up with a sample size of 90 which will be easy to analyze and I will surely end up with a correct conclusion.
After finishing off with the method I used in my first step which was “systematic sampling”, then picking out my samples and recording them, I deleted the variable not needed except some which will be required for the second assumption in order to extend my investigation.
Next step I’ll be taking is drawing a “Scatter Graph”, I will clearly explain what a Scatter Graph is used for and what are needs for it in this project.
