Learn Index · Probability and Combinatorics Grade 6–8

Theoretical probability

Probability found by reasoning about equally likely outcomes.

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Probability by reasoning

Theoretical probability is calculated without doing an experiment. When all outcomes are equally likely:

P(event) = number of favourable outcomes ÷ total number of possible outcomes

A favourable outcome is one that counts as the event happening.

Example: a die

The sample space for a fair die is {1, 2, 3, 4, 5, 6}.

Event Favourable outcomes Probability
Roll a 5 {5} 1/6
Roll an even number {2, 4, 6} 3/6 = 1/2
Roll more than 4 {5, 6} 2/6 = 1/3
Roll a 7 none 0
Roll less than 7 all 1

The probability scale

Probabilities go from 0 (impossible) to 1 (certain). They can be fractions, decimals or percents: 1/4 = 0.25 = 25%.

Example: a bag of marbles

A bag has 5 red, 3 blue and 2 green marbles (10 total).

  • P(red) = 5/10 = 1/2
  • P(blue) = 3/10
  • P(not green) = 8/10 = 4/5

The complement

The complement of an event is everything else. Since something must happen:

P(not A) = 1 − P(A)

  • P(not rolling a 6) = 1 − 1/6 = 5/6

A deck of cards

A standard deck has 52 cards: 4 suits (hearts, diamonds, clubs, spades) of 13 cards each (A, 2–10, J, Q, K).

Event Probability
Draw a heart 13/52 = 1/4
Draw a king 4/52 = 1/13
Draw a red card 26/52 = 1/2
Draw a face card (J, Q, K) 12/52 = 3/13

Using theoretical probability to predict

Expected number = P(event) × number of trials.

Roll a die 300 times: expected number of 3s = 1/6 × 300 = 50.

Only for equally likely outcomes

The formula only works if outcomes are equally likely. A spinner with one large red section and a small blue section isn’t 1/2 red: you’d use the angles instead.

Worked examples

Example 1: P(spinning a 2) on a spinner with 8 equal sections numbered 1–8?

1/8.

Example 2: The letters of MATHEMATICS are put in a bag. P(drawing an M)?

2 M’s out of 11 letters: 2/11.

Example 3: P(not drawing a red card) from a standard deck?

1 − 1/2 = 1/2.

Common mistakes

  • Using the formula when outcomes aren’t equally likely.
  • Counting the sample space wrong (forgetting duplicates, like two M’s).
  • Writing probabilities greater than 1.

Try it yourself

  1. P(rolling a number less than 3)?
  2. A bag has 4 yellow and 6 purple counters. P(yellow)?
  3. P(drawing an ace) from a standard deck?
  4. P(not rolling a 1)?
  5. Expected heads in 80 coin flips?

Answers: 1) 1/3 2) 2/5 3) 1/13 4) 5/6 5) 40

Quick recap

  • Theoretical probability = favourable ÷ total equally likely outcomes.
  • List the sample space carefully.
  • P(not A) = 1 − P(A).