About probability without replacement.

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So the probability is (3/13)*(3/51)= 9/663. In summary, the probability that both cards drawn are of the same suit is 12/52 or 3/13. The probability that both cards drawn are face cards given that they are of the same suit is 9/663.
  • #1
kenny1999
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Homework Statement



2 cards are drawn from a deck of 52 playing cards at random without replacement.
(a) Find the probability that both cards drawn are of the same suit.
(b) Find the probability that both cards drawn are face cards given that they are of the same suit.

Homework Equations


The Attempt at a Solution



I have no problem with the part (a) but part (b) makes me confused.
Do I have to use conditional probability to work out the solution of part (b)?
If that's the case, how to determine the event involved? In other words, how to do?

Thank you.
 
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  • #2
kenny1999 said:

Homework Statement



2 cards are drawn from a deck of 52 playing cards at random without replacement.
(a) Find the probability that both cards drawn are of the same unit.
(b) Find the probability that both cards drawn are face cards given that they are of the same unit.

Homework Equations


The Attempt at a Solution



I have no problem with the part (a) but part (b) makes me confused.
Do I have to use conditional probability to work out the solution of part (b)?
If that's the case, how to determine the event involved? In other words, how to do?

Thank you.

Prove that you have no problem with (a) by showing your solution. That will also be the basis for solving (b). As you surmise, (b) does involve conditional probability, and you solve it by using the definitions and formulas for conditional probability that are in your textbook or course notes. Of course, before you can calculate anything you need to understand what is being asked, so you need to translate the words into a mental picture. Just imaging drawing out two cards over and over again, many times, and taking note of the results. Now try to put question (b) into the context of your experiment.

Note added in editing: I assume by the word "unit" you mean the same face-value, so two Queens would be OK, but not a King and a Queen. I have never before heard of the word "unit" in connection with cards.

RGV
 
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  • #3
In order that the two cards be face cards, the first card must be one of Jack, Queen, King. What is the probability of that? How many face cards are there in the 52 card deck. Now the second card must be the same as the first. What is the probability of that? How many of that same rank are left in the remaining 51 cards?
 
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  • #4
Ray Vickson said:
Prove that you have no problem with (a) by showing your solution. That will also be the basis for solving (b). As you surmise, (b) does involve conditional probability, and you solve it by using the definitions and formulas for conditional probability that are in your textbook or course notes. Of course, before you can calculate anything you need to understand what is being asked, so you need to translate the words into a mental picture. Just imaging drawing out two cards over and over again, many times, and taking note of the results. Now try to put question (b) into the context of your experiment.

Note added in editing: I assume by the word "unit" you mean the same face-value, so two Queens would be OK, but not a King and a Queen. I have never before heard of the word "unit" in connection with cards.

RGV

sorry , wrongly typed, not same "unit", but same "suit"
 
  • #5
For the first problem, then, the first card drawn can be anything. There are then 51 cards left in the pack, 12 of them of the same suit as the first.

For the second problem, the probability that the first card is a face card is 12/52= 3/13. There are then 3 face cards left of the 11 cards left in that same suit.
 

FAQ: About probability without replacement.

1. What is the definition of probability without replacement?

Probability without replacement refers to a situation where the probability of an event occurring changes based on the previous outcomes. This means that each time an event occurs, the probability of it happening again decreases.

2. How is probability without replacement different from probability with replacement?

In probability with replacement, the probability of an event occurring remains the same for each trial, regardless of the previous outcomes. In probability without replacement, the probability changes as the outcomes are removed from the sample space.

3. What is an example of probability without replacement?

An example of probability without replacement is drawing cards from a deck without replacing them. Each time a card is drawn, the probability of drawing a certain card decreases as there are fewer cards left in the deck.

4. How do you calculate the probability without replacement?

To calculate the probability without replacement, you need to first determine the total number of possible outcomes and the number of desired outcomes. Then, for each subsequent trial, you need to adjust the number of possible outcomes and desired outcomes based on the previous outcomes.

5. What is the significance of probability without replacement in real life situations?

Probability without replacement is important in real life situations because it more accurately reflects the changing probabilities that occur in many scenarios. For example, in a game of chance, each time a player loses, their chances of winning the next round decrease. This concept is also used in statistics and sampling techniques to ensure accurate representation and analysis of data.

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