Section 1
Independent and Dependent Events
Property
A compound event is where a particular experiment is executed two or more times. An important factor is the distinction between independent and dependent outcomes. Two events are independent if the occurrence or nonoccurrence of one event has no effect on the other. In contrast, a dependent event is a second event whose result depends on the result of a first event.
Examples
- Rolling a die and then spinning a spinner are independent events. The die roll does not change the probabilities on the spinner.
- A box has 5 red and 4 blue pens. Drawing a red pen is the first event. If you don't replace it, the probability of drawing a second red pen changes from to , so the events are dependent.
- Flipping a coin twice are independent events. If you get heads the first time, the probability of getting heads the second time is still .
Explanation
Two events are independent if the first outcome doesn't affect the second (like two coin flips). They are dependent if the first outcome changes the possibilities for the second (like drawing a card and not putting it back).