Why Do Different Methods Yield Different Probabilities in Card Drawing?

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Discussion Overview

The discussion revolves around the probabilities associated with drawing cards from a deck of 60 cards, specifically the probability of drawing a specific card when drawing multiple cards. Participants explore different methods of calculating these probabilities and the reasoning behind them.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant suggests that the probability of drawing a specific card when drawing seven cards should be calculated as (1/60) + (1/59) + (1/58) + (1/57) + (1/56) + (1/55) + (1/54), questioning the validity of the simpler method that yields 7/60.
  • Several participants assert that the online source's method is correct, explaining that the probability of drawing the card on the second draw depends on whether it was drawn on the first draw, leading to the conclusion that the probability of drawing a specific card after n draws is n/60.
  • One participant emphasizes the bijection between outcomes of drawing the card on the first or second draw, reinforcing the argument that both events should have the same probability.

Areas of Agreement / Disagreement

Participants generally agree that the method presented by the online source is correct, but there is a disagreement regarding the initial participant's proposed method of calculating the probability, which remains unresolved.

Contextual Notes

The discussion highlights the conditional nature of probabilities in card drawing and the assumptions underlying different calculation methods. There is no consensus on the validity of the initial participant's approach.

Piers
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I read online, that if you have a deck of 60 cards, and you must draw seven, the probability of getting a specific card is 7/60.

What I don't understand, is why isn't this probability equal to: (1/60)+(1/59)+(1/58)+(1/57)+(1/56)+(1/55)+(1/54)? Both answers round to 12%, but this one gives 12.295% while the article's gives 11.667%.

My method seems to make more sense, but I wanted to ask here to be sure.
 
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The answer you found online is correct. To see why, let's look at a simpler example: you have a deck of 60 cards, and draw two. Now, this event can happen in one of two mutually exclusive ways: either you get the card on the first draw, or on the second. The probability of getting the card on the first draw is plainly 1/60. Now, you seem to be thinking "after I've drawn the first card, there are only 59 cards left in the deck, so the probability of getting the card on the second draw is 1/59." But in fact, this is only true on the condition that you didn't get the correct card on the first draw. If you did get the correct card on the first draw, the probability of getting on the second draw is zero! The unconditional probability that you'll get the correct card on the second draw is thus the probability that you failed to get it on the first draw times the probability that you get it on the second draw, given that you didn't get it on the first draw. Thus, the probability of getting the card on the second draw is 59/60 * 1/59 = 1/60, and the probability of getting the card on either draw is 1/60 + 1/60 = 2/60.

This result makes sense, because there's a bijection between the outcomes where you get the card on the first draw, and the outcomes where you get the card on the second draw (swap the order of the cards). Hence, the two events should have the same probability. Generalizing this argument, we see that the probability of getting a specific card after drawing n cards is n/60, as the online site claims.
 
Citan Uzuki said:
The answer you found online is correct. To see why, let's look at a simpler example: you have a deck of 60 cards, and draw two. Now, this event can happen in one of two mutually exclusive ways: either you get the card on the first draw, or on the second. The probability of getting the card on the first draw is plainly 1/60. Now, you seem to be thinking "after I've drawn the first card, there are only 59 cards left in the deck, so the probability of getting the card on the second draw is 1/59." But in fact, this is only true on the condition that you didn't get the correct card on the first draw. If you did get the correct card on the first draw, the probability of getting on the second draw is zero! The unconditional probability that you'll get the correct card on the second draw is thus the probability that you failed to get it on the first draw times the probability that you get it on the second draw, given that you didn't get it on the first draw. Thus, the probability of getting the card on the second draw is 59/60 * 1/59 = 1/60, and the probability of getting the card on either draw is 1/60 + 1/60 = 2/60.

This result makes sense, because there's a bijection between the outcomes where you get the card on the first draw, and the outcomes where you get the card on the second draw (swap the order of the cards). Hence, the two events should have the same probability. Generalizing this argument, we see that the probability of getting a specific card after drawing n cards is n/60, as the online site claims.

Excellent explanation. Thanks.
 
Citan Uzuki said:
The answer you found online is correct. To see why, let's look at a simpler example: you have a deck of 60 cards, and draw two. Now, this event can happen in one of two mutually exclusive ways: either you get the card on the first draw, or on the second. The probability of getting the card on the first draw is plainly 1/60. Now, you seem to be thinking "after I've drawn the first card, there are only 59 cards left in the deck, so the probability of getting the card on the second draw is 1/59." But in fact, this is only true on the condition that you didn't get the correct card on the first draw. If you did get the correct card on the first draw, the probability of getting on the second draw is zero! The unconditional probability that you'll get the correct card on the second draw is thus the probability that you failed to get it on the first draw times the probability that you get it on the second draw, given that you didn't get it on the first draw. Thus, the probability of getting the card on the second draw is 59/60 * 1/59 = 1/60, and the probability of getting the card on either draw is 1/60 + 1/60 = 2/60.

This result makes sense, because there's a bijection between the outcomes where you get the card on the first draw, and the outcomes where you get the card on the second draw (swap the order of the cards). Hence, the two events should have the same probability. Generalizing this argument, we see that the probability of getting a specific card after drawing n cards is n/60, as the online site claims.

Thanks for this, very nice :)
 

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