Gambling_Games.jpgAn outcome is the result of an experiment such as throwing a die or picking a card from a pack. A trial is each time the die is rolled or a card picked. The sample space is the set of all possible outcomes and an event is part of the sample space.

Term Meaning Example
Experiment A process for which the result depends on chance and cannot be predicted. throwing a pair of diceY12-Basic_Probability_01.GIF
Trial One performance of an experiment. one rolling of the dice
Outcome The result of a single trial. the result of throwing the dice e.g. (1, 2)
Event A subset of the sample space. scoring an odd total
Sample space The set of all possible outcomes.

all possible outcomes from
(1, 1) through to (6, 6)

 

Theoretical Probability

For equally likely outcomes, the theoretical probability of the event E occurring is given by:

 
Probability of event E happening =Y12-Basic_Probability_02.gif

Probabilities are expressed as fractions, decimal fractions or percentages.

Example 1
Answer

When a die is tossed, what is the probability that a 5 or a 6 will face up?

Total six possible outcomes = {1, 2, 3, 4, 5, 6}

Required two outcomes= {5, 6}

Y12-Basic_Probability_03.gif

Example 2
Answer

A card is picked from a normal pack of 52.

What is the probability the card will be a heart?

There are 52 cards in a pack.

There are 13 hearts.

P(Heart) = 13/52 = 0.25


Probabilities will always be in the range from 0 to 1.

e.g. 0≤ P(E) ≤ 1

If the probability of an event happening is 0, the event cannot occur.

 

e.g. P(throwing a six-sided die and scoring a 7) = 0

If the probability of an event happening is 1, the event is certain to occur.

e.g. P(throwing a six-sided die and scoring less than 7) = 1

With all experiments, the sum of the probabilities of all possible outcomes is 1.

Experimental Probability

 

As well as working out probabilities from theory. i.e. Cards, dice and coins, another way is to actually carry out experiments and examine the results.

Example
Suppose that, for some strange reason, we want to find the probability that a drawing pin lands point-up when thrown in the air.

The pin is thrown in the air and the number of times it lands point-up or point down is recorded. This experiment is repeated several times for different numbers of throws.

The results are recorded below and the relative frequencies of the number of times the pin lands point-up are calculated.

Number of times pin lands point up
Total number of throws
Relative frequency
3
5
Y12-Basic_Probability_04.gif
4
10
Y12-Basic_Probability_05.gif
9
20
Y12-Basic_Probability_06.gif
16
30
Y12-Basic_Probability_07.gif
18
40
Y12-Basic_Probability_08.gif
26
50
Y12-Basic_Probability_09.gif
28
60
Y12-Basic_Probability_10.gif
51
100
Y12-Basic_Probability_11.gif
74
150
Y12-Basic_Probability_12.gif
102
200
Y12-Basic_Probability_13.gif

These results can be shown on a graph.

Y12-Basic_Probability_14.gif

It seems that as the number of throws in the experiments is increased the relative frequency tends towards 0.5.

This is called the long-run relative frequency or the experimental probability.