Statistical Handling Data Coursework on High School Students Essay

statistical Handling Data Coursework High schoolingFor this handling statistical selective information coursework I provide be investigating the heights and weights of students of social classs 7 to 11 in High School. Although this is a fictitious school the info is based on a real school. I entrust manner 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 zilch hypothesis is that thither is no correlation between height and weight, and my utility(a) hypothesis is that there is strong, positive correlation between them. I entrust thusly investigate the heights of boys in years 7 and equality 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 countenance 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 confused from t he younger students in the lunch queues. This could be necessary because if the taller students are heavier, then the shorter ones will cast hurt in the queue to lunch since students normally 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 frustrate 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 entropy, I sight find the information on an exam board website. This data is undeviating because it is provided by the exam board and is based on real students, however, it may be unreliable because it is secondary data, non 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 isnt worth investigating.The data could be bias ed because it was only collected from one school and not from other areas in the country. The data may be biased because there may pitch been a lot of snack shops or profuse food restaurants near the school, which may have affected the students weights. I could have investigated further by using more than one schools 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 stainless results. For example I could have calculated the archetype deviation for my three hypothesise to get a more accurate spread of data than the interquartile range.