Q.Give a real-life example of the following: Independent Events and Dependent Events.
Independent events do not influence each other's probability; dependent events do — illustrated with one everyday example of each.
Two events are independent if
They are dependent if
where is the conditional probability of given has occurred.
- Independent events — real-life example. Tossing a fair coin and rolling a fair die at the same time. Let "coin shows Head", "die shows 5". The die has no way of "knowing" what the coin did, so
which matches direct counting ( favourable outcome out of total). Since , the events are independent.
- Dependent events — real-life example. Drawing two cards without replacement from a well-shuffled deck of 52 cards. Let "1st card is a King" () and "2nd card is a King". If has occurred, only 3 Kings remain among 51 cards, so
The 2nd draw's probability genuinely depends on the outcome of the 1st draw, so and are dependent.
Self-check: In example 1, equals the true joint probability — confirms independence. In example 2, — confirms dependence.
Independent: tossing a coin and rolling a die simultaneously (coin outcome does not affect die outcome).
Dependent: drawing two cards in succession without replacement (2nd draw's probability depends on the 1st draw).
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