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Experimental probability · 3 marks

Toss a paper cup into the air 100 times. After each toss record whether the cup lands on its bottom, upside down on its top or on its side (See the figure). Assign probabilities to the outcomes by using experimental probability.

bottomtopside
Answer: Use P = count100 for each landing position. One sample set of results: bottom 12, top 23, side 65, giving P(bottom) = 0.12, P(top) = 0.23, P(side) = 0.65 (total 1). Your own results will differ, but the cup usually lands on its side most often.

Step-by-step solution

Idea: The three outcomes are not equally likely (a cup is not symmetrical like a coin), so we cannot just say 13 each. We must experiment and use relative frequency: P(outcome) = Number of times it happened100.

  1. Make a tally table with three rows (bottom, top, side) and put a tally mark after each of the 100 tosses.½ mark
  2. Sample results (one class’s experiment; yours will be different):
    bottom: 12 times; top (upside down): 23 times; side: 65 times. Check: 12 + 23 + 65 = 100.½ mark
  3. Experimental probability = Number of times the outcome occurredTotal number of tosses:
    P(bottom) = 12100 = 0.12
    P(top) = 23100 = 0.23
    P(side) = 65100 = 0.651½ marks
  4. Check and interpret: 0.12 + 0.23 + 0.65 = 1. Landing on its side is the most likely outcome and landing on its bottom the least likely. The outcomes are clearly not equally likely, which is why the probabilities had to be found by experiment.½ mark
Assign each outcome its relative frequency from your 100 tosses. With the sample results: P(bottom) = 0.12, P(top) = 0.23, P(side) = 0.65. The three probabilities always add up to 1.

Check: The three counts must add up to 100 and the three probabilities to 1. If your side count is far less than half, check that the cup was tossed high and allowed to fall freely each time.

Answer to write in the exam

Sample results (100 tosses): bottom 12, top 23, side 65

P(bottom) = 12100 = 0.12

P(top) = 23100 = 0.23

P(side) = 65100 = 0.65

Check: 0.12 + 0.23 + 0.65 = 1

∴ P(bottom) = 0.12, P(top) = 0.23, P(side) = 0.65

Common mistakes that cost marks

  • Assigning 13 to each outcome. The outcomes are not equally likely, so theoretical reasoning does not work here; use the experiment.
  • Dividing by 3 (the number of outcomes) instead of by 100 (the number of tosses).
  • Not checking that the counts add up to 100. A missed or double-counted toss makes every probability wrong.

How this can come in the exam

Case-based (4 marks)

A class drops a drawing pin 200 times. It lands point up 124 times and point down (on its side) the other times.
(a) How many times did it land point down? (1)
(b) Find the experimental probability of landing point up. (1)
(c) Find the experimental probability of landing point down, and explain why these probabilities could not be found by assuming equally likely outcomes. (2)

Show answer(a) 200 − 124 = 76.
(b) 124200 = 0.62.
(c) 76200 = 0.38. A drawing pin is not symmetrical, so the two outcomes are not equally likely; 12 each would be wrong. Only an experiment can estimate them.
MCQ (1 mark)

A bottle cap is tossed 50 times and lands top-up 32 times. The experimental probability of landing top-down is

  1. 0.32
  2. 0.36
  3. 0.5
  4. 0.64
Show answer

(B) 0.36
Top-down = 50 − 32 = 18; 1850 = 0.36.

Try one yourself

A paper cup was tossed 80 times: bottom 10, top 18, side 52. Assign experimental probabilities to the three outcomes.

Show answer

P(bottom) = 1080 = 0.125, P(top) = 1880 = 0.225, P(side) = 5280 = 0.65. Total 1.

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