AxoPrep

Mathematics: Applications and Interpretation

SL 4.5 Basic probability concepts

The language of probability, theoretical and experimental probability, complements and expected numbers of outcomes. Study guide, 2 practice questions with markschemes and 1 flashcards. Free.

Trial, outcome, sample space and event · Theoretical versus experimental probability · Complementary events · Expected number of occurrences

Practise all 2 questions Study 1 flashcards

Study guide

The vocabulary

Theoretical probability

When all outcomes are equally likely,

\[P(A) = \frac{n(A)}{n(U)}\]

where \(n(A)\) counts the outcomes in \(A\). Every probability lies between 0 (impossible) and 1 (certain).

Experimental probability

If outcomes are not equally likely, or the situation is too complicated to analyse, run the experiment many times and use the relative frequency:

\[P(A) \approx \frac{\text{number of times } A \text{ occurred}}{\text{number of trials}}\]

The more trials, the closer this tends to be to the true probability. A drawing pin landing point-up is a classic case where only experiment can tell you the probability.

Complementary events

The complement \(A'\) means "\(A\) does not happen". Since one of them must occur,

\[P(A') = 1 - P(A)\]

This is the fastest route for "at least one" questions: \(P(\text{at least one}) = 1 - P(\text{none})\).

Expected number of occurrences

If an event has probability \(p\) and there are \(n\) trials, the expected number of times it happens is \(np\). This is a long-run average and need not be a whole number.

Worked example

Two fair six-sided dice are rolled. The sample space has \(6 \times 6 = 36\) equally likely outcomes, best shown in a grid.

Bag example. A bag has 5 red, 7 blue and 8 green counters. One is drawn at random: \(P(\text{blue}) = \frac{7}{20}\) and \(P(\text{not green}) = 1 - \frac{8}{20} = \frac{3}{5}\).

Common mistakes

Exam tips

Cheat sheet

Key definitions

Trial

One performance of a random experiment.

Outcome

A single possible result of a trial.

Sample space

The set of all possible outcomes of an experiment, often written U.

Event

A collection of outcomes, usually described by a condition.

Complementary event

The event A′ that A does not happen; P(A′) = 1 − P(A).

Relative frequency

The proportion of trials in which an event occurred, used as an experimental probability.

Expected number of occurrences

The long-run average count of an event in n trials, equal to np.

Practice questions

SLPaper 1Foundation

Question 1

Two fair six-sided dice are rolled and the scores are added.

(a) [2]

Find the probability that the total is 8.

Markscheme
  • 1 Identifies 5 outcomes: (2,6), (3,5), (4,4), (5,3), (6,2)
  • 1 \(\frac{5}{36}\)
(b) [2]

Find the probability that at least one die shows a 6.

Markscheme
  • 1 \(1 - \left(\frac{5}{6}\right)^2\) or counts 11 outcomes
  • 1 \(\frac{11}{36}\)
(c) [1]

The dice are rolled 180 times. Find the expected number of times the total is 8.

Markscheme
  • 1 \(180 \times \frac{5}{36} = 25\)
SLPaper 1Standard

Question 2

A bag contains 5 red, 7 blue and 3 green counters.

(a) [1]

One counter is taken at random. Find the probability that it is green.

Markscheme
  • 1 \(\frac{3}{15} = \frac{1}{5}\)
(b) [2]

Two counters are taken at random without replacement. Find the probability that both are red.

Markscheme
  • 1 \(\frac{5}{15} \times \frac{4}{14}\)
  • 1 \(\frac{2}{21}\) (0.0952)
(c) [2]

Find the probability that the two counters are different colours.

Markscheme
  • 1 P(same) \(= \frac{20 + 42 + 6}{210} = \frac{68}{210}\)
  • 1 P(different) \(= 1 - \frac{68}{210} = \frac{142}{210} = \frac{71}{105}\) (0.676)

Key facts

Expected number of occurrences

Expected number \(= n \times P(A)\) for \(n\) trials.