Show that ##P(X=2)=\dfrac{2}{15}##

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That's why it's important to learn the "long way" of doing things, too. Then you can use the "fast way" in cases where it saves time and effort.In summary, two packs of cards, A and B, are given with 10 and 6 cards respectively. The random variable X represents the sum of two cards chosen at random from each pack. To find the probability that X equals 2, we can use the fact that the only way to get a sum of 2 is by selecting a 0 from pack A and a 2 from pack B. Therefore, the probability of getting a sum of 2 is equal to the probability of selecting a 0 from pack A multiplied by the
  • #1
chwala
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Homework Statement
Pack A consists of ##10## cards numbered ##0,0,1,1,1,1,1,3,3,3##. Pack B consists of ##6## cards numbered ##0,0,2,2,2,2##. One card is chosen at random from each pack. The random variable ##X##is defined as the sum on the two cards.

Show that ##P(X=2)=\dfrac{2}{15}##
Relevant Equations
Probability
My approach;

0011111333
00011111333
00011111333
22233333555
22233333555
22233333555
22233333555

##P(X=2)=\dfrac{8}{60}=\dfrac{4}{30}=\dfrac{2}{15}##

Mark scheme solution;

1671614545136.png


just sharing...cheers! Any insight is welcome.
 
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  • #2
Part iii. of the question.

Given that ##x=3##, find the probability that the card chosen from Pack A is a ##1##.

In the markscheme (well understood), they used Conditional probability i.e

1671615889772.png


Alternatively, from my table above;

We have ##P(x=3)=\dfrac {26}{60}## and the Probability ##P(A1∩sum 3)= \dfrac {20}{60}##

therefore;

The probability that the card chosen from Pack A is a ##1=\dfrac {20}{60}×\dfrac {60}{26}=\dfrac {20}{26}=\dfrac {10}{13}##
 
  • #3
Your answer seems fine to me, the mark scheme says getting the probabilities by counting is fine.
 
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  • #4
chwala said:
Homework Statement:: Pack A consists of ##10## cards numbered ##0,0,1,1,1,1,1,3,3,3##. Pack B consists of ##6## cards numbered ##0,0,2,2,2,2##. One card is chosen at random from each pack. The random variable ##X##is defined as the sum on the two cards.

Show that ##P(X=2)=\dfrac{2}{15}##
A method that requires a lot less writing is this:
To get a total of 2 from the two cards, the only possibility is to select a 0 card from pack A and a 2 card from pack B.
With the r.v. X being the sum of the two cards, P(X = 2) = P(0 from A and 2 from B) = P(0 from A) x P(2 from B) = ##\frac 2 {10} \cdot \frac 4 6 = \frac 2 {15}##.
 
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  • #5
Mark44 said:
A method that requires a lot less writing is this:
To get a total of 2 from the two cards, the only possibility is to select a 0 card from pack A and a 2 card from pack B.
With the r.v. X being the sum of the two cards, P(X = 2) = P(0 from A and 2 from B) = P(0 from A) x P(2 from B) = ##\frac 2 {10} \cdot \frac 4 6 = \frac 2 {15}##.
Brilliant! @Mark44 ...

Would one get full marks using this exceptional approach...
 
  • #6
chwala said:
Brilliant! @Mark44 ...

Would one get full marks using this exceptional approach...
I don't see why not.
What I did simply uses basic properties of probabilities.
 
  • #7
chwala said:
Any insight is welcome.
You haven't got time (or space) to write all that out in an exam. It can easily be seen that the only way to get a sum of 2 is to draw a 0 from the first pack and a 2 from the second pack. There are 2 x 4 = 8 ways to do that and there are 10 x 6 = 60 total draws.
 
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  • #8
chwala said:
Would one get full marks using this exceptional approach...
On this question? Yes. On the whole exam? Probably not - you won't have time to finish it if you use approaches like this.
 
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FAQ: Show that ##P(X=2)=\dfrac{2}{15}##

How do you show that P(X=2) is equal to 2/15?

To show that P(X=2) is equal to 2/15, we need to use the formula for calculating probability: P(X=x) = Number of favorable outcomes / Total number of outcomes. In this case, we can set up a probability distribution table and calculate the number of favorable outcomes for X=2, which should be 2. Then, we divide this by the total number of outcomes, which should be 15. This will give us the probability of P(X=2) = 2/15.

What is the significance of P(X=2) being equal to 2/15?

The significance of P(X=2) being equal to 2/15 is that it represents the probability of a specific outcome, in this case X=2, occurring in a given experiment or event. It is a way to quantify the likelihood of an outcome happening, and in this case, it is a relatively small probability, indicating that X=2 is not a very common outcome.

Can you provide an example of a scenario where P(X=2) would be equal to 2/15?

One example of a scenario where P(X=2) would be equal to 2/15 is rolling a fair six-sided die and getting a 2 as the outcome. Since there are 6 possible outcomes (1,2,3,4,5,6) and only one of them is favorable (2), the probability of getting a 2 is 1/6, which is equivalent to 2/15 when simplified.

What does the value of P(X=2) tell us about the distribution of X?

The value of P(X=2) tells us that X follows a discrete probability distribution, where the possible outcomes are discrete and not continuous. It also tells us that the distribution is not uniform, as the probability of X=2 is not equal to the probability of any other outcome.

How can we use P(X=2) to make predictions about future outcomes?

We can use P(X=2) to make predictions about future outcomes by using it as a guide for the likelihood of X=2 occurring. If we know the probability of X=2, we can use that information to estimate the chances of X=2 happening in future experiments or events. However, it is important to note that probability is not a guarantee, and other factors may influence the actual outcome.

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