How Do You Calculate the Probability of Both Picking a Red Jelly Bean?

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In summary, the probability that both Joan and Jim will pick a red jelly bean from the jar is 6/55. This is a dependent event probability, as the probabilities of picking a red jelly bean for each person are affected by the other person's choice. The conditional probability formula is used to calculate the overall probability.
  • #1
ms. confused
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A jar contains four red, four yellow, and three green jelly beans. If Joan and Jim take one jelly bean each, the probability that they both take a red jelly bean is:

4/11? (1/2)(4/11) + (1/2)(4/11)

or should I be using P(A) x P(B) for this? :confused:
 
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  • #2
P(A) = 4/11 (There are 4 red jelly beans for Joan to pick, out of a total possible 11)
P(B) = 3/10 (After Joan has now taken a red jelly bean, obviously there are only 3 left and a total possible 10 to pick)

Your question wants Joan AND Jim to pick a red jelly bean, so you should multiply the two. If the question wanted either Joan OR Jim to pull one, you would add the probabilities.

Not too sure where you got (1/2)(4/11) from :P Maybe if you post your reasoning, we could help you out.
 
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  • #3
ms. confused said:
A jar contains four red, four yellow, and three green jelly beans. If Joan and Jim take one jelly bean each, the probability that they both take a red jelly bean is:

4/11? (1/2)(4/11) + (1/2)(4/11)

or should I be using P(A) x P(B) for this? :confused:
As Silverwing has said, they are both taking a bean, which means it is an 'AND' situation. If the question said they replaced it then the two events would be independent but the question suggests they are not independent of each other.

The Bob (2004 ©)
 
  • #4
This is probably a independent event probability, because in this knowing P(A) and P(B) isn't enough to determine [itex] P(A \cap B) [/itex].
 
  • #5
Cyclovenom said:
This is probably a independent event probability, because in this knowing P(A) and P(B) isn't enough to determine [itex] P(A \cap B) [/itex].

On the contrary, this is an example of dependent events. (it is "sampling without replacement"). If Jim goes first and takes a red jelly bean, there are 10 jelly beans left only 3 of which are red so Joan's prob of taking a red jelly bean is 3/10. If Jim takes either a yellow or green jelly bean there would 10 jelly beans left still but now 4 would be red so the probability of Joan taking a red jelly bean would be 4/10.
That's why Silverwing and The Bob use conditional[/b] probability: the probability that Joan picks a red jelly bean given that Jim picks a red jelly bean.

Of course, the problem doesn't say that Jim picked before Joan but it doesn't matter- if Joan picks first the probability that she picks a red jellybean is 4/11 and the probability that Jim picks red given that Joan picked red is 3/10 so you get exactly the same answer: (4/11)(3/10)= 6/55.
 

FAQ: How Do You Calculate the Probability of Both Picking a Red Jelly Bean?

What is "Jelly-Bean Probability"?

"Jelly-Bean Probability" is a term used to describe the probability or likelihood of selecting a specific color or flavor of jelly-bean from a bag or container filled with different colored or flavored jelly-beans.

How is "Jelly-Bean Probability" calculated?

"Jelly-Bean Probability" is calculated by dividing the number of jelly-beans of a specific color or flavor by the total number of jelly-beans in the bag or container. For example, if there are 10 red jelly-beans out of a total of 50 jelly-beans, the probability of selecting a red jelly-bean would be 10/50 or 0.2.

What factors can affect "Jelly-Bean Probability"?

The factors that can affect "Jelly-Bean Probability" include the number of jelly-beans in the bag, the number of jelly-beans of each color or flavor, and the method of selection (e.g. random, picking by hand, etc.). These factors can impact the overall probability of selecting a specific color or flavor of jelly-bean from the bag.

How can "Jelly-Bean Probability" be used in real life?

"Jelly-Bean Probability" can be used in various real life scenarios, such as predicting the chances of winning a game or contest that involves selecting jelly-beans from a bag, estimating the popularity of a certain jelly-bean flavor based on its frequency in a bag of mixed jelly-beans, or even in market research to determine consumer preferences for jelly-bean flavors.

Can "Jelly-Bean Probability" be applied to other objects besides jelly-beans?

Yes, the concept of "Jelly-Bean Probability" can be applied to other objects besides jelly-beans. It can be used to calculate the probability of selecting a specific color from a bag of M&M's, or the probability of drawing a certain suit from a deck of cards. The key is to have a known number of objects with different options and to calculate the probability of selecting a specific option from that group.

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