Examples
The probability of throwing a heads with a two-headed coin is 1 (certain).
The probability of throwing a tails is 0 (impossible).
The probability of throwing a heads with a fair coin is 0,5 (evens).
Calculating probability
If all the outcomes are equally likely, then the probability an event A happening is given by this formula:
P(A) = number of ways the event A can occur
number of possible outcomes |
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Equally Likely Outcomes
When a dice is thrown and the number shown is recorded, there are six possible results:
1,2,3,4,5,6.
If the dice is a perfect cube, each of these numbers is equally likely to come up. We say that there are six equally likely outcomes.
Example 1: The probability of getting an even number with a normal dice is as follows:
P (even) |
= 3/6 |
|
|
= 1/2 |
(3 even numbers 2, 4, 6) |
|
|
(6 equally likely outcomes) |
Example 2: The probability of getting a number greater than 4.
P (a number greater than 4) |
= 2/6 |
|
= 1/3 (5 and 6 are greater than 4) |
Example 3: The probability of an event not happening e.g. not getting the number 6.
P (6) = 1/6 (dice)
| P (not a 6) |
= 1 – 1/6 |
|
= 5/6 |
This is because it is a certainty that the event will or will not happen.
Example 4: If the probability of winning a tennis match is 0,3, what is the probability of losing?
P (winning at tennis) = 0,3
P (losing) |
= 1 – 0,3 |
|
= 0,7 |
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Experimental Probability
Probability can be examined by experiment. For example, a coin is tossed 100 times and the results are recorded.
Number of heads = 47
Number of tails = 53
The relative frequency for heads = 47/100 and for tails = 53/100.
These are approaching the probabilities but only become accurate for a large number of trials.
relative frequency = the number of times the event happens
the number of attempts |
Example: A drawing pin was thrown 50 times and the following results were obtained:
Landing with the sharp end down = 10
| Relative frequency |
= 10/50 |
|
= 1/5 |
Landing with the flat end down = 40
| Relative frequency |
= 40/50 |
|
= 4/5 |
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