Sweets in a bag probability problem

In summary: This is not a contradiction to the problem statement.In summary, Andrei had a bag of x sweets and removed two sweets simultaneously without replacement. The probability that the third sweet is red is (x/2) - 1. It is possible to solve this problem if x/2 is between 1 and 2. However, there may be a mistake in the problem as it does not make sense for other values of x. The problem does not give any information about the original sweets or the ones that were removed, so it is difficult to determine how many red sweets were in the bag to begin with. The only possibility for x=2 is if it is impossible to draw the third sweet, but this is not a contradiction to
  • #1
thebosonbreaker
32
5
Andrei has a bag of x sweets.
He removes two sweets from the bag simultaneously (without replacement).
He now removes a third sweet.
The probability that the third sweet is red is (x/2) - 1.
How many red sweets were in Andrei's bag to begin with?

Could somebody please tell me if (and how) it is possible to solve this problem?
Thank you very much for your help in advance!
 
Physics news on Phys.org
  • #2
I am not sure if probability, is the correct term to use here (a probability is a number less than 1, like 1/2 or 1/3). Could the value (x/2) -1 be a number between 0 and 1? If probability is the word that they intend, then Well yes if x/2 is between 1 and 2. What does this tell you about possible values of x? Would it help you to determine how many start out as red? Do they give you any information about the original sweets, which were pulled? You will need to know if they were red, or not.
 
  • #3
I agree with @scottdave, the problem does not seem to make sense; what if x=10 so that x/2-1 =4 , or x >10? Are you sure you there isn't a mistake somewhere?
 
  • #4
I think, we have to deduce that 0≤x/2-1≤1. ⇒2≤x≤4. Again three sweets are already drawn⇒3≤x≤4. Now consider Case1: x=3. Therefore, prob of third being sweet is red is either 0 or 1 (according as last sweet left in box non red or red after withdrawal of 1st two). This does not satisfy the given prob condition as the given prob=1/2. Alternatively, there are 3 possible cases of the 1st drawn 2 sweets 3C2. That can not produce prob for the last one left=1/2. Case2: x=4. ⇒x/2-1=1.Last two in the box must be red. Therefore the 1st two must also be red. ⇒ all the 4 sweets must be red. Since, if there is one non red, and two reds are drawn in first draw, the prob of red in third draw is 1/2 which does not satisfy the given prob condition. Similarly, there can not be 2 or 3 non reds.
One trivial case remains for x=2. After the 1st two drawn there will none for the third draw. Therefore the prob of red in 3rd draw is 0, which satisfies the prob condition. Then there can be 0,1,2 possible reds.
 
Last edited:
  • Like
Likes scottdave
  • #5
ssd said:
...One trivial case remains for x=2. After the 1st two drawn there will none for the third draw. Therefore the prob of red in 3rd draw is 0, which satisfies the prob condition. Then there can be 0,1,2 possible reds.

Nice working through. After reading this, and re-reading the problem, I say that x=2 is not a possibility, because the problem tells you that a 3rd piece is removed. This makes it only one possible answer.
 
  • #6
Actually, I added the case of x=2 on the basis of the given prob condition (third item is red with prob x/2-1=0). A non existent item (here, the third sweet) can as well be drawn with prob=0 (which, in turn implies, it is impossible to draw it).
 

Related to Sweets in a bag probability problem

What is the "Sweets in a bag probability problem"?

The "Sweets in a bag probability problem" is a classic probability problem that involves calculating the likelihood of drawing a certain number of objects from a bag containing different types of objects. In this case, the objects are sweets, and the problem asks for the probability of drawing a specific number of a certain type of sweet from the bag.

What are the key factors that affect the probability in this problem?

The key factors that affect the probability in this problem are the total number of sweets in the bag, the number of sweets of each type, and the number of sweets drawn from the bag.

How do you calculate the probability in this problem?

To calculate the probability in this problem, you need to divide the number of combinations that result in the desired outcome by the total number of possible combinations. This can be expressed as a fraction, decimal, or percentage.

What is the difference between theoretical probability and experimental probability in this problem?

Theoretical probability is the probability calculated based on mathematical principles and assuming all outcomes are equally likely. Experimental probability, on the other hand, is the probability calculated based on actual results from conducting experiments. In this problem, theoretical probability would be used to predict the likelihood of drawing a certain number of sweets, while experimental probability would be based on actually drawing sweets from the bag and recording the results.

How can this problem be applied in real-life situations?

This problem can be applied in real-life situations in many ways. For example, it can be used in market research to predict the likelihood of a certain product being chosen by consumers. It can also be used in sports analytics to predict the chances of a certain team winning a game based on their past performance. Additionally, this problem can be used in genetics to calculate the probability of inheriting certain traits from parents.

Similar threads

  • Set Theory, Logic, Probability, Statistics
Replies
13
Views
479
  • Set Theory, Logic, Probability, Statistics
Replies
7
Views
428
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
4
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
8
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
2K
  • Set Theory, Logic, Probability, Statistics
2
Replies
45
Views
3K
Back
Top