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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. Part 2: Method: I will select 40 random students. The way I will do this is on the calculator. Step one: First I will press the Shift then Ran#. Step two: Then I will multiply it by the total students, which are 810, then press =(equals). 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 Part 5: I will now work out the mean, mode, range and median of the data. I have decided to use intervals because height and weight are continuous data. Frequency table for height of boy's and girl's. Height Interval Tally Frequency (f) Midpoint (x) f (x) 148 - 154 9 151 1359 155 - 161 10 158 1580 162 - 168 11 135 1485 169 - 175 4 172 688 176 - 182 6 179 1074 Total: ?f=40 ?x=795...

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