Statistical Handling Data Coursework on High School Students Essay

Statistical Handling Data Coursework: High School For this handling statistical data coursework I will be investigating the heights and weights of students of years 7 to 11 in High School. Although this is a fictitious school the data is based on a real school. I will look for a trend in the heights and weights of the students to see if the taller they are, the more they weigh. This is my hypothesis. My Null hypothesis is that there is no correlation between height and weight, and my Alternative hypothesis is that there is strong, positive correlation between them. I will then investigate the heights of boys in years 7 and compare them to the girls, and then do the same in year 11. I will then be able to compare these two sets of results. These are my second and third hypotheses. I am carrying this investigation out because from my hypothesis I want to know whether students in the older years should be separated from the younger students in the lunch queues. This could be necessary because if the taller students are heavier, then the shorter ones will get hurt in the queue to lunch since students usually push their way to the front. So if the taller students are the older ones, then the year groups should be separated in the queue in order to prevent anyone getting hurt. In order to carry out this investigation, I will need to collect the heights and weights of all the students in High School between and including years 7 to 11. Instead of collecting the data, I can find the information on an exam board website. This data is reliable because it is provided by the exam board and is based on real students, however, it may be unreliable because it is secondary data, not primary since I am not physically collectin... ...rect guesses. They also provided a lot of inappropriate data such as their names which is inappropriate since isn’t worth investigating. The data could be biased because it was only collected from one school and not from other areas in the country. The data may be biased because there may have been a lot of snack shops or fast food restaurants near the school, which may have affected the students’ weights. I could have investigated further by using more than one school’s data and compared them and I could have had more hypothesise. This would have given more precise results due to a larger range and a larger sample. I could have drawn more graphs and made more calculations to get more accurate results. For example I could have calculated the standard deviation for my three hypothesise to get a more accurate spread of data than the interquartile range.