Combinatronics, drawing exactly 1 ace from a card deck

Click For Summary
SUMMARY

The discussion focuses on calculating the probability of drawing exactly one ace from a standard 52-card deck when five cards are drawn. The participants explore different approaches, including combinatorial logic and the hypergeometric distribution. The correct method involves using the hypergeometric distribution, which accounts for drawing without replacement. The probability can be calculated using the formula for the hypergeometric distribution, considering 4 aces and 48 non-aces in the deck.

PREREQUISITES
  • Understanding of combinatorial mathematics
  • Familiarity with the hypergeometric distribution
  • Basic probability concepts
  • Knowledge of factorial notation and calculations
NEXT STEPS
  • Study the hypergeometric distribution and its applications in probability
  • Practice problems involving combinations and permutations
  • Learn how to derive probabilities using factorials
  • Explore real-world applications of combinatorial mathematics
USEFUL FOR

Students studying probability and combinatorics, educators teaching mathematical concepts, and anyone interested in understanding card game probabilities.

whitejac
Messages
169
Reaction score
0

Homework Statement


In a 52 card deck, if you draw 5 cards find the probability of drawing exactly one ace.

Homework Equations


(n k) = n!/k!(n-k)!
P(A) = |A|/|S|

The Attempt at a Solution


So I took the logic of a different example we had that stated it like this - If we have 5 options but only 1 of them can be an ace then we have (5 1). This gives a very very unrealistic problem as the sample space is (52 5) yielding me 5/2598960 to equal roughly 1.62*10^-6

So I took a different logic stating that if we have 4 cards that are aces then 48 of them are not. Then we may choose 4 of these cards for (48 4).

My question is which one of these or are neither of them a very profficient way to approach these? I've seen it put where you can logically construct these situations using something to the effect of:
(n1 k1)(n2 k2) and this would produce the appropriate number for your |A| because you construct it through multiplecation. ie (48 1) = (12 1)(4 1).
 
Physics news on Phys.org
"Combinatronics" is randomly putting together electronic components. :smile:

"Combinatorics" is that branch of mathematics which studies the combinations of objects drawn from a finite set. :wink:
 
In a deck of 52 cards, 4 of them aces, so 4/52= 1/13 of them are aces. What is the probability that the first card drawn is an ace? If that happens then there are 51 cards left, 3 of them aces and 48 "non-aces". What are the probabilities that each of the next 4 cards drawn are NOT aces? The product of those is the probability of first drawing an ace and then four non-aces.

What is the probability that the first card drawn is NOT an ace, the second is an ace, and the next three are not aces? The product of those is the probability that the second card drawn is an ace and the four others are non-aces. The point is that you should see that while the individual fractions involved are different, the 5 numerators and 5 denominators are the same as before, just in different positions, so the product is the same.

That is, the probability of drawing a single ace and four non-aces, in any specific order, is the same whatever the order. And there are 5 such orders:
ANNNN, NANNN, NNANN, NNNAN, and NNNNA, where "A" represents an ace, "N" a non-ace.
 
  • Like
Likes   Reactions: RUber
That was a very concise and intuitive explanation, thank you!

I'm a bit curious if there were not a better way to do it using combinations. I can see the factorials building up, but I'll need to spend more time playing with them before I think I'll really grasp it. I liked your approach though as it does more to derive the equations than simply memorize a tactic.
 
whitejac said:
That was a very concise and intuitive explanation, thank you!

I'm a bit curious if there were not a better way to do it using combinations. I can see the factorials building up, but I'll need to spend more time playing with them before I think I'll really grasp it. I liked your approach though as it does more to derive the equations than simply memorize a tactic.

Sure: use the "hypergeometric distribution".

In this case you have 52 items, of which 4 are of type I (Aces) and 48 are of type II (non-Aces). You draw n = 5 items without replacement, and want the probability that your sample contains k = 1 item of type I. Google 'hypergeometric distribution' to see the relevant formulas.
 

Similar threads

Replies
31
Views
6K
  • · Replies 8 ·
Replies
8
Views
2K
Replies
1
Views
2K
Replies
17
Views
4K
  • · Replies 9 ·
Replies
9
Views
6K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 16 ·
Replies
16
Views
6K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
Replies
3
Views
3K