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Mayfield High School – Handling Data Introduction Mayfield High School is a fictitious school but the data presented is based on a real school. I have been provided with the following data: Year Group Number of Boys Number of Girls Total 7 151 131 282 8 145 125 270 9 118 143 261 10 106 94 200 11 84 86 170 Totals 604 579 1183 Year Group, Surname, First name, Middle name, Age (years and months), Month of birth, Gender, Hair colour, Eye Colour, Left/Right handed, Favourite colour, Favourite type of music, Favourite Sport, Favourite Subject, Favourite T.V show, Average number of hours of T.V watched per week, IQ, Height, Weight, Distance between home and school, number of siblings, number of pets and KS2 results for Maths, English and Science. There is a total of 813*19 = 15447 datum points From which I can select some to develop a statistical investigation or line of enquiry. I am going to investigate the relationship between height and weight. I have chosen this line of enquiry because I feel there is a definite connection between the two. Hypothesis My hypothesis is that weight is directly proportional to weight To investigate my hypothesis I must collect data on height and weight I will do this by collecting a sample of the data. I will be collecting 60 students for my sample in total because it is large enough to get a general idea of height and weight for the whole population yet it small and controllable enough for me to work with. I chose 60 because I foresee that it will be an easy number to work with in averages i.e. means, medians, interquartile ranges. I will use stratified sampling because this overcomes problems with unequal amounts of boys and girls and imbalanced numbers in year groups. It also enables me to keep ratios between the numbers of students selected from each strata equal. Then I will use a scientific calculator to randomly choose a number.
Approximate Word count = 1295
Approximate Pages = 5.2
(250 words per page double spaced)
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