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Experimental and theoretical probability

Method: Results out of trials; probability × trials

Theoretical probability comes from counting equally likely outcomes. Experimental probability comes from what actually happened: the number of times the event happened over the number of trials. To predict, multiply the theoretical probability by the number of trials: a fair dice rolled 60 times should give about 60 ÷ 6 = 10 sixes. Real results wobble around the expected number, and the wobble matters less when there are more trials.

Explore this idea with maths tools

Maths you can move

Build 8 + 5

Tap two gold counters to fill the ten-frame.

8 in the frame + 5 waiting. The total stays the same.

Words to know

trial
one go of an experiment, such as one toss
experimental probability
times it happened ÷ number of trials
expected number
probability × number of trials

Worked examples

A coin was tossed 20 times and landed heads 13 times. Experimental P(heads)?

  1. 1.Use the results: 13 heads out of 20 tosses.
  2. 2.13/20.

= 13/20

A spinner has 5 equal sections, 2 red. It is spun 50 times. How many reds do you expect?

  1. 1.P(red) = 2/5.
  2. 2.50 ÷ 5 × 2 = 20.

= 20

A spinner with 4 equal sections (1 red) is spun 40 times and lands on red 14 times. How many more than expected?

  1. 1.Expected: 40 ÷ 4 = 10.
  2. 2.14 − 10 = 4.

= 4

For parents

Method: Results out of trials; probability × trials

What to say: Is this from the results, or from theory? What would you expect, and what happened?

Common mistakes:

  • Gives the theoretical probability instead of the result of the experiment.
  • Gives the number of times the event happened instead of a probability.
  • Compares successes with failures instead of with all trials.
  • Uses the number of times the event did not happen.
  • Expects the event half the time because it 'either happens or not'.
  • Uses one favourable outcome when several give the event.
  • Gives the expected number of times the event does not happen.
  • Gives the expected number instead of comparing it with the result.
  • Expects the event half the time when working out the difference.
  • Uses one favourable outcome when working out the expected number.