Gcse Coursework About Maths Data Handling.

3574 words - 14 pages

Introduction.My group has collected information about each other in the group. The information was on there:SexHeightArm SpanHead CircumferenceShoe SizeEye ColourWe measured each group member and collected the data for each of these categories.My aim for this piece of work was to collect all of the results from the people in the group and to make sure that my hypothesis is correct.These results have been recorded into a data collection sheet and are Primary Data. We have tried to get these results as correctly as possible.The information recorded from other groups is called Secondary Data; we do not know how accurate these results are because we were not there to make sure they were accurately recorded.Some of the data like the arm span is Continuous; this means that it has been measured using a ruler or a tape measure.Discrete data is a type of data that can ether be counted or put into a category. One piece of discrete data from the different categories I have measured is Shoe size.Qualitative data is a person's opinion; this type of data is not always accurate because different people would have different opinions about somebody's eye colour.The last type of data is quantitative; this is a counted piece of data or an amount like a Head circumference.The group collected the data into a chart. Each person in the group had a row to be filled in for all the different categories. The results were very accurate because the whole group would check the results and confirm them.My hypothesis.My hypothesis is to prove that there is some kind of link between the height of a person and the size of there shoes. I have chosen this line of enquiry because I think it is closely linked as the bigger the body is, the larger the shoe size is going to have to be so that they can support the weight. I also think that the average shoe size and height for males will be larger than for females.Data Collection.To prove my hypothesis I am going to have to use both primary and secondary data, I am going to look at the list of pupil data and randomly pick 50 people, 25 females and 25 males then compare their results using an excel document and charts. I am trying to make this as fair test as I can which is why I picked an even amount of females to males and only used 25 for each sex.Here is the data I have collected from our pupil records, as you can see 25 of each sex. To select this data I looked at the large list of raw data that contained everybody from my year and marked every fourth entry. All the marked entries were chosen for investigation. This method of data collection is known as Stratified SamplingSex Height/CM Arm Span/CM Head Circumference/CM Shoe Size Eye ColourF 176 182 58 7 BlueF 160 170 59 4 HazelF 171 170 54 5 BlueF 157.5 161 55 5 BlueF 161 166 55 6 BlueF 167 150 55 6 BrownF 158.5 165 55 5.5 GreenF 170 163 56 7 BlueF 172 177 57 7 BlueF 160.5 149 57 4 BrownF 163.5 166 56 5.5 BlueF 160.5 164 55 6 BrownF 158.5 162 55 5 BlueF 164 163 59 7 HazelF 163 167 56...

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