Conditional Probability & Independence

In summary, the two launches are independent. The probability that the Vandenberg launch goes off on schedule is .626 greater than the probability that the Cape Canaveral launch goes off on schedule.
  • #1
exitwound
292
1

Homework Statement



One satellite is scheduled to be launched form Cape Canaveral in Florida, and another launching is scheduled for Vandenberg AFB in California. Let A denote the event that the Vandenberg launch goes off on schedule, and let B represent the event that the Cape Canaveral launch goes off on schedule. If A and B are independent events with P(A)>P(B) and P(A u B) = .626, P(A ∩ B) = .144, determine the values of P(A) and P(B).

The Attempt at a Solution



This is a practice problem. I have the answers of .45 & .32. I have no idea how to get them.

I know that if P(A|B) = P(A), then the two probabilities are independent.

I also know that P(A|B)P(B) = P(A ∩ B) .

I don't know how to do this problem.
 
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  • #2
exitwound said:

The Attempt at a Solution



I know that if P(A|B) = P(A), then the two probabilities are independent.

I also know that P(A|B)P(B) = P(A ∩ B) .

I don't know how to do this problem.

Well then you know that P(A|B)P(B) = P(A ∩ B) simplifies to P(A∩B)=P(A)P(B).

P(A u B) should be the same as P(A)+P(B)
 
  • #3
rock.freak667 said:
P(A u B) should be the same as P(A)+P(B)
That's not correct. You'd be double-counting when A and B occur simultaneously. It should be

[itex]P(A \cup B)=P(A)+P(B)-P(A \cap B)[/itex].
 
  • #4
I actually got those two equations:

[itex]
P(A \cup B)=P(A)+P(B)-P(A \cap B)
[/itex]
and
[itex]
P(A\cap B)=P(A)P(B)
[/itex]

I end up with two equations with two unknowns, but I can't come up with any answers that work.
 
  • #5
Solve for P(A) in the second equation and plug it into the first, then multiply through by P(B). You'll end up with a quadratic equation.
 
  • #6
Yup. And it comes out with no solutions. I've tried like 10 times.
 
  • #7
You must be making an algebra error somewhere. I did the same thing and got the expected answer. Why don't you post your work so we can see where you might have gone astray?
 
  • #8
[itex]
P(A \cup B)=P(A)+P(B)-P(A \cap B)
[/itex]
and
[itex]
P(A\cap B)=P(A)P(B)
[/itex]

[tex]
P(A)=\frac{P(A\cap B)}{P(B)}
[/tex]

[tex]
P(A \cup B)=\frac{P(A\cap B)}{P(B)}+P(B)-P(A \cap B)
[/tex]

[tex]
P(A \cup B)=P(A\cap B)+P(B)^2-P(A \cap B)P(B)
[/tex]

[itex]
.626=.144+P(B)^2-.144P(B)
[/itex]

[itex]P(B)^2-.144P(B)-.770=0[/itex]
 
  • #9
You forgot to multiply the lefthand side by P(B).
 
  • #10
[tex]
P(B)P(A \cup B)=P(A\cap B)+P(B)^2-P(A \cap B)P(B)
[/tex]

[tex].626P(B)=.144+P(B)^2-.144P(B)[/tex]
[tex]0 = .144+P(B)^2-.770P(B)[/tex]

Still no solutions.
 
  • #11
Well, your equation is correct, and it has the aforementioned solutions. All I can suggest is you check your work again carefully.
 
  • #12
Oh. I'm a doofus. The coefficient of P(B)^2 is 1, not 0. Thanks for the help.
 

1. What is conditional probability?

Conditional probability is the likelihood of an event occurring given that another event has already occurred. It is calculated by dividing the probability of the joint occurrence of the two events by the probability of the first event.

2. How is conditional probability different from regular probability?

Regular probability calculates the likelihood of an event occurring without considering any other events. Conditional probability, on the other hand, takes into account that another event has already occurred.

3. What is the formula for calculating conditional probability?

The formula for conditional probability is P(A|B) = P(A and B) / P(B), where A and B are events and P(A|B) is the probability of event A occurring given that event B has already occurred.

4. What is independence in terms of conditional probability?

Two events are considered independent if the occurrence of one event does not affect the likelihood of the other event occurring. In other words, the probability of one event occurring does not change based on whether the other event has occurred or not.

5. How is independence related to conditional probability?

If two events are independent, then the conditional probability of one event occurring given that the other event has occurred is equal to the regular probability of the first event occurring. This means that the knowledge of one event does not provide any new information about the likelihood of the other event occurring.

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