Mutually exclusive/independent events
Can someone please explain to me what the difference is between these two terms (in words, not maths)?
If A and B are mutually exclusive events, then A and B can't both happen at the same time. Is that right? What's the difference between that and if A and B were independent? :confused: 
Coin flip example:
One flip: Heads or Tails are mutually exclusive events Two flips: The outcome of each flip is independent. 
That sort of makes sense, thanks.

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If I draw one card from a deck, drawing an ace and drawing a king are mutually exclusive events a single card cannot be both an ace and a king. However, drawing an ace and drawing a spade are not mutually exclusive events a single card can be both an ace and a spade. If I draw one card, return that card to the deck, and then draw another card, the draws are independent of each other the sample space is the same for both draws because I returned the first card to the deck. If I draw one card, but do not return that card to the deck, and then draw another card, these events are dependent the sample space is different since I didn't return the first card to the deck. Say I drew an ace the first time. Then there is one less card and one less ace in the deck, so the probabilities for the second draw have changed. So mutually exclusive events are contrasted with nonmutuallyexclusive events, asking whether one event excludes the other. Independent events are contrasted with dependent events, asking whether one event effects the probability of the other. 
Thanks, honestrosewater, that's also good :smile:.

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