How Do You Calculate P(A∩B) in Probability Theory?

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In summary, the conversation discusses finding the probability of the intersection of two events, A and B, using the counting formula. It also introduces De Morgan's laws and their application to solving for probabilities. The final solution is that the probability of A and B not occurring is equal to 1 minus the probability of A and B occurring.
  • #1
karush
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this is an image of the problem as given, mostly to avoid typo's, but (b) seems to contain a notation that I don't recognize.

well for \(\displaystyle (a)\) find \(\displaystyle p(A\cap B)\)

from the counting Formula:
\(\displaystyle n(A\cup B)=n(A)+n(B)-n(A\cap B)\)

replacing $n$ for $p$ and isolating \(\displaystyle p(A\cap B)\)
\(\displaystyle p(A\cup B)-p(A)-p(B)=p(A\cap B)\)
so..
$1-0.6-0.8=-0.4=p(A\cap B)$

(b) ?
 
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  • #2
Hi karush,

For (a) you have the right idea but mixed up your signs a bit.

$P[A \cup B]=P[A]+P-P[A \cap B]$. We want to solve for $P[A \cap B]$.

$P[A \cap B]=P[A]+P-P[A \cup B]$.

Can you solve it from there?

(b) I'm going to guess that the "C" means "compliment". Normally we write this as $P[A' \cup B']$ or $P[A^c \cup B^c]$. There are some special and useful rules, called De Morgan's laws, that allow us to manipulate expressions like this. Have you seen these before?
 
  • #3
\(\displaystyle P[A \cap B]=P[A]+P-P[A \cup B]\)

\(\displaystyle 0.4=0.6+0.8-1\)

i am am looking at De Morgan's laws it new to me...

I did see this

https://www.physicsforums.com/attachments/1136
 
  • #4
Exactly! :)

Notice that $P[A' \cup B']=P[A \cap B]'=1-P[A \cap B]$ and you'll be done.
 
  • #5
Jameson said:
Exactly! :)

Notice that $P[A' \cup B']=P[A \cap B]'=1-P[A \cap B]$ and you'll be done.

\(\displaystyle P[A' \cup B']=P[A \cap B]'=1-P[A \cap B]\)
\(\displaystyle

0.6=1-0.4\)

really that it!
 

FAQ: How Do You Calculate P(A∩B) in Probability Theory?

What is basic probability?

Basic probability is the branch of mathematics that deals with the study of chance or likelihood of an event occurring. It involves calculating the probability of an event based on the total number of possible outcomes.

What is p(A∩B) in basic probability?

p(A∩B) represents the probability of two events, A and B, occurring simultaneously. It is also called the intersection of A and B, where both events must happen at the same time for the overall event to occur.

How do you find p(A∩B)?

To find p(A∩B), you need to first calculate the individual probabilities of events A and B. Then, you need to multiply these probabilities together to get the probability of both events occurring simultaneously.

What is the range of p(A∩B)?

The range of p(A∩B) is between 0 and 1, where 0 represents impossibility and 1 represents certainty. This means that the probability of events A and B occurring simultaneously can range from impossible to certain.

How is basic probability useful in real life?

Basic probability is useful in real life as it allows us to make informed decisions by assessing the likelihood of different outcomes. It is used in fields such as finance, insurance, and risk analysis to make predictions and minimize potential losses. It also helps us understand and interpret data in various scientific and social studies.

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