Pilot Survey:
Before I collect my data I will complete a pilot survey. This pilot survey will help me test that my survey is accurate and I will get the results I require fairly and accurately. It also gives me an idea of how the real results may be or if the hypothesis will be correct. The pilot survey will give me an approximation of my data and so if changed are needed I will be able change before i get my real results.
Data:
In this investigation, I will be using both primary and secondary data to make comparisons and similarities between them. My primary data will be the estimation of each pupil in year 8. However my secondary data will be the Midyis results of each separate pupil. I will compare the results of their Midyis to their estimation as part of my coursework.
Presentation of Data:
I will be presenting my data in the following methods:
- I will use a scatter graph to see the difference between the pupil’s estimation and their Midyis score
- I will use a cumulative frequency graph so I can find out the median and the quartiles of each set of data
- I will use a box and whisker diagram to see the difference between the lowest value and the highest estimation.
- I will use a histogram average estimation against the frequency density to show distribution of the data.
Hypothesis:
- As the Midyis score increases the accuracy of the estimation will increase.
- Male’s estimations are more accurate than females.
Description of Data collected:
Surname, Forename, Gender and Tutor group are all unique types of data which will allow me to get the specific Midyis score for a specific pupil without having to search through all of them. The “Pupil estimation” is continuous data as they represent measurements. The “Difference between the actual length and pupil estimation” will be measure by taking away the actual length line from the pupil estimation to give the range between them.
Sampling Method:
I will be collecting data from 56 students in year 8 but will altogether be stratified sampled as there will be a specific amount of girls and boys. There will be 28 boys and 28 girls. I have chosen 56 students so that there will not be too many or to fewer students and also it will be easy to plot and see differences amongst one another. I also used random sampling because the year 8 is separated into different tutor groups and I am picking at random which tutor group I will choose from.
I have chosen these two sampling methods because they will provide me with the most accurate results as they are not bias because I have chosen randomly which tutor group I will ask. I used stratified sampling to make it fair and since I am comparing which gender has a better estimating accuracy it was needed, so I have both the same amount of boys and girls in my data.
I did not do systematic sampling as I thought it might miss out on the population which was required and also it might also not be representative of the whole population.
Pilot Survey
A pilot survey of a tutor group was taken. The pilot survey showed that the strip of paper with the line on it was too small and so the measurement they had to draw was coming off the line. Another problem was that students tables had rulers on them, so even when we specifically said not to use a ruler to help calculate the measurements, we are not certain that they did or didn’t use it to help them. This is not a fair result. Students may also have cheated as they were told to fold over their first strip of paper after they had estimated on them, so they couldn’t use it to help estimate the second measurement. The uncertainty was that they easily might have turned over the first strip of paper so it might have given them an edge to estimating the second measurement. By finding out these problems will help me to fix and solve them before I come to do my real survey.
ks
- sc
- *surname
- *forename
- *gender
- *tutor group
- *midyis score
- *actual lenght of line
- *pupil estimation
- *and difference between actual length a