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Statistics "Mayfield high school" - the taller the person the more they weigh.  

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MATHS COURSEWORK STATISTICS "MAYFIELD HIGH SCHOOL" STUDENT: RAHEEM MIRZA TEACHER: MS LEWIS Part 1: Introduction/Aim I imagine that the taller the person is the more they weigh, due to body mass. I also assume that the gender doesn't have an effect on their height and weight. I will try and prove or disprove this in my investigation. I will take people from Key Stage 3. Part 2: Method: Using Microsoft Excel, i selected 40 random people from the Mayfield High School database. I chose to use the formula =SUM ()*40. This automatically gave me 40 students which are below. Part 3: My 40 Random Result Random Result Number Year Group Gender Height (cm) Weight (kg) 671 1 9 Female 159 50 687 2 9 Female 156 50 261 3 7 Male 156 39 342 4 8 Female 175 64 584 5 9 Female 180 82 445 6 8 Male 167 51 388 7 8 Female 180 58 428 8 8 Male 154 37 646 9 9 Female 165 52 291 10 8 Female 168 59 224 11 7 Male 148 26 309 12 8 Female 163 42 654 13 9 Female 165 49 469 14 8 Male 165 40 262 15 7 Male 149 35 353 16 8 Female 160 46 635 17 9 Female 160 40 804 18 9 Male 180 42 685 19 9 Female 152 50 388 20 8 Female 180 58 479 21 8 Male 168 51 75 22 7 Female 166 45 94 23 7 Female 173 51 552 24 9 Female 160 60 548 25 8 Male 152 45 468 26 8 Male 182 54 238 27 7 Male 160 40 630 28 9 Female 162 41 750 29 9 Male 180 55 258 30 7 Male 157 48 271 31 7 Male 151 39 560 32 9 Female 152 46 739 33 9 Male 160 68 792 34 9 Male 170 50 416 35 8 Male 148 40 684 36 9 Female 158 55 335 37 8 Female 175 55 430 38 8 Male 162 53 176 39 7 Male 152 32 470 40 8 Male 165 59 Types of Formulae I will use the following types of formulae; * Quartile Ranges * Mean, Mode, Median and Range * Pearson's Product Moment Correlation Co-Efficient To represent my data, I intend to use the following types of Graphs; * Cumulative Frequency Graphs * Histograms * Frequency Polygons * Box and Whisker Plots Part 5: I will now...

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