Analysing the data sheet which contains all the data of the student's weight and height, both male and female.

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Year 10 math handling data coursework

Plan

The background objective of my study is to investigate my hypothesis (which will act as a basis for my findings) this will be carried out by analysing the data sheet which contains all the data of the student’s weight and height, both male and female.

I will then portray the data onto a number of sampling techniques I found in a text book so when I collected my data I will be using the following: scatter diagrams, line graphs, histograms, cumulative frequency tables, bar charts and frequency polygon.

This will make it much easier for me to conclude and will also be clear to others who come across this information when via these mediums it is presented onto a simple graph. After this data has been recorded, I will overlook my hypothesis and analyze if it concur add up. If not then my hypothesis was obviously wrong and misleading.

I will then make the correct hypothesis so that it corresponds with my graphs.

I came up with two hypothesis, one in which I could chose to be my final one. I chose out of these two because these were the most obvious ones and thought these may be true. The two hypotheses were:

     1. Males are taller then females in year 10.

     2. The taller you are the heavier you are (year 7 females)

I was not sure but had a thought that males are usually taller then females. I think this is due to the hormones and the pituitary glands. I think that when the males reach the age of 16 onwards they produce more growth hormone then the average teenage female therefore I think that the males will be taller then the females. The next hypothesis I chose was if the taller you are the more you weighed. I am pretty sure this is correct because it is basic common sense as the taller you are then the longer your bones will be, which mean more body mass hence the more you weigh, but there could still be some odd results. In general the heavier the person is the taller that person is likely to be. I chose to do the females data from year 7.

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I chose hypothesis 1.                                                                                                                                           

I will be using a sample of 30 pupils as this is a fairly large sample, the bigger the sample then the more accurate my results will ...

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