Probability is a measure that describes how likely an event is to occur.
It is expressed as a number between 0 and 1, where 0 means the event cannot happen, and 1 indicates certainty.
Conditional probability refers to the probability of an event occurring, given that another event has already happened.
In our exercise, we deal with conditional probability: \(P(\text{Heart} \mid \text{Red})\).
This reads as 'the probability of drawing a Heart card given that a Red card is drawn'.
It's crucial to understand that we're narrowing our sample space to only Red cards.
With conditional probability, the previous known outcomes affect our likelihood calculation.
- Probability helps you predict outcomes based on current knowledge.
- Conditional probability assesses likelihood with an updated scenario.
- The notation \(P(A \mid B)\) means 'probability of A given B'.
In this exercise, knowing you have a Red card impacts the probability of it being a Heart card.