3. Probability: Probability
Conditional Probability
For experiments that observe multiple events, it might be possible that the outcome of one event influences the outcome of another event.
Outcomes influencing each other
For example, when rolling two dice, you might be interested in the probability that the total score of the two dice equals . There is only one way to obtain a total score of , which is to roll a with both dice. The probability of this event is:
Now, suppose the dice are thrown one at a time and the first die comes up . This directly influences the probability of obtaining a total score of . In order to get a total score of , given that the first die came up , you need to roll a with the second die as well. The probability of this happening is:
This probability of an event, based on the condition that another event has occurred is called a conditional probability.
Conditional Probability
Definition
A conditional probability is the probability of an event A occurring, given that an event B has occurred.
Notation
Rules
- The probability of given equals the probability of AND , divided by the probability of :
- Once event occurs, it is certain that event occurs:
- IF and are mutually exclusive, then:
Out of these students, a single student is selected at random. What is the probability that this student is left-handed, given that the student is female?
Events and are defined as follows:
- 'the student is left-handed'
- 'the student is female'
The probability of randomly selecting a left-handed student, given that the student is female corresponds to the following conditional probability:
The probabilities needed for this calculation are: