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you can state both equations only if they are independent from each other ...
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hirendhanak
P(A or B) = P (A) + P(B) - p(a n b)
0.6= 0.4 + P(B) - 0.25
P(B) = 0.45


Hi.

Can u tell me wat is P(AandB)????

Please clear my doubt.

regards,
Rrsnathan.
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rrsnathan
hirendhanak
P(A or B) = P (A) + P(B) - p(a n b)
0.6= 0.4 + P(B) - 0.25
P(B) = 0.45


Hi.

Can u tell me wat is P(AandB)????

Please clear my doubt.

regards,
Rrsnathan.

P(A and B)= probability both events (A,B) occur= P(A)*P(B).

Hope this clear your doubt
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shrive555
The probability that event A occurs is 0.4, and the probability that events A and B both occur is 0.25. If the probability that either event A or event B occurs is 0.6, what is the probability that event B will occur?

0.05
0.15
0.45
0.50
0.55


P(A) = .40
P(A and B) = P(A) * P(B) = .25 ----1
P(A or B) = P (A) + P(B) = .60 -----2

Both 1 & 2 give different results.
1 => P(B) = \(.25/P(A)\) = 0.62
2=> P(B) = .60 - .40 = .20

whats going wrong ...i don;t know :roll:
The only correction you need is to minus...
P(A or B) = P (A) + P(B) - P(A) * P(B) =
or, 0.60 = 0.4 +p(B) - 0.25
so, p(B) = 0.45 (C)

we all make mistake....don't worry about it... :)
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shrive555
The probability that event A occurs is 0.4, and the probability that events A and B both occur is 0.25. If the probability that either event A or event B occurs is 0.6, what is the probability that event B will occur?

A. 0.05
B. 0.15
C. 0.45
D. 0.50
E. 0.55


P(A) = .40
P(A and B) = P(A) * P(B) = .25 ----1
P(A or B) = P (A) + P(B) = .60 -----2

Both 1 & 2 give different results.
1 => P(B) = \(.25/P(A)\) = 0.62
2=> P(B) = .60 - .40 = .20

whats going wrong ...i don;t know :roll:

If A and B are overlapping events then

P (A or B) = P(A) + P(B) - P(A and B)

C
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shrive555
The probability that event A occurs is 0.4, and the probability that events A and B both occur is 0.25. If the probability that either event A or event B occurs is 0.6, what is the probability that event B will occur?

A. 0.05
B. 0.15
C. 0.45
D. 0.50
E. 0.55


P(A) = .40
P(A and B) = P(A) * P(B) = .25 ----1
P(A or B) = P (A) + P(B) = .60 -----2

Both 1 & 2 give different results.
1 => P(B) = \(.25/P(A)\) = 0.62
2=> P(B) = .60 - .40 = .20

whats going wrong ...i don;t know :roll:

Another way of looking at this is that both events are overlapping events- A and B can occur at the same time - this is basically the same as

Total= A + B -both --> is the same thing as saying P(A or B)= P(A) + P(B) -P(A and B)

This is one application of the overlapping set formula to probability
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Nunuboy1994
shrive555
The probability that event A occurs is 0.4, and the probability that events A and B both occur is 0.25. If the probability that either event A or event B occurs is 0.6, what is the probability that event B will occur?

A. 0.05
B. 0.15
C. 0.45
D. 0.50
E. 0.55


P(A) = .40
P(A and B) = P(A) * P(B) = .25 ----1
P(A or B) = P (A) + P(B) = .60 -----2

Both 1 & 2 give different results.
1 => P(B) = \(.25/P(A)\) = 0.62
2=> P(B) = .60 - .40 = .20

whats going wrong ...i don;t know :roll:

Another way of looking at this is that both events are overlapping events- A and B can occur at the same time - this is basically the same as

Total= A + B -both --> is the same thing as saying P(A or B)= P(A) + P(B) -P(A and B)

This is one application of the overlapping set formula to probability

I have a similar question as shrive555. Not really convinced with Nunuboy1994's explanation.

shrive555 When events are mutually exhaustive, then P(A or B) = P(A) + P(B). So we can't use that formula (i.e. your point 2) since the Q tells us that both events can happen together.

Hey abhimahna Here's my question: How do we know that the events are not independent? For independent events, we know that P(A and B) = P(A) * P(B), which would give a different answer.
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Alternate approach

P(Total) = 1 | P(Event A) = 0.4 | P(Both) = 0.25 (from question stem)

P(Neither) = 1 - P(Either event A or event B) = 1 - 0.6 = 0.4

P(Total) = P(Event A) + P(Event B) - P(Both) + P(Neither)

Substituting values, \(1 = 0.4 + P(Event B) - 0.25 + 0.4\)
-> \(1 = 0.8 - 0.25 + P(Event B)\) -> \(P(Event B) = 1 - 0.55\) = 0.45(Option C)
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pushpitkc
Alternate approach

P(Total) = 1 | P(Event A) = 0.4 | P(Both) = 0.25 (from question stem)

P(Neither) = 1 - P(Either event A or event B) = 1 - 0.6 = 0.4

P(Total) = P(Event A) + P(Event B) - P(Both) + P(Neither)

Substituting values, \(1 = 0.4 + P(Event B) - 0.25 + 0.4\)
-> \(1 = 0.8 - 0.25 + P(Event B)\) -> \(P(Event B) = 1 - 0.55\) = 0.45(Option C)

Thanks pushpitkc for that alternate approach. We could do that if we know that we have overlapping sets.

Hey abhimahna, any idea what's the relationship between overlapping and independent sets? Why can't we use the independent events formula here, P(A and B) = P(A) * P(B), which would give a different answer.
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shrive555
The probability that event A occurs is 0.4, and the probability that events A and B both occur is 0.25. If the probability that either event A or event B occurs is 0.6, what is the probability that event B will occur?

A. 0.05
B. 0.15
C. 0.45
D. 0.50
E. 0.55

We can use the formula:

P(A or B) = P(A) + P(B) - P(A and B)

So we have:

0.6 = 0.4 + P(B) - 0.25

0.6 = 0.15 + P(B)

0.45 = P(B)

Answer: C
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dabaobao
Hey abhimahna, any idea what's the relationship between overlapping and independent sets? Why can't we use the independent events formula here, P(A and B) = P(A) * P(B), which would give a different answer.

Hey dabaobao ,

When two events are said to be independent of each other, what this means is that the probability that one event occurs in no way affects the probability of the other event occurring. Example - Say you rolled a die and flipped a coin.

Here, no such case is happening. We have two events A and B as well as we have an overlap between them as well Both A and B. Hence, we will use the formula mentioned above. Also, please note that I would not consider A and B independent events unless explicitly stated in the question.

Does that make sense?
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0.6 = 0.4 + PB - 0.25
PB = 0.45
Answer D
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shrive555
The probability that event A occurs is 0.4, and the probability that events A and B both occur is 0.25. If the probability that either event A or event B occurs is 0.6, what is the probability that event B will occur?

A. 0.05
B. 0.15
C. 0.45
D. 0.50
E. 0.55

Using Manhattan book formula
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Please forgive my ignorance, but why P(B) not equal to 0.625??
as P(A) = .40
P(A and B) = P(A) * P(B) = .25
P(B) = .25/P(A) = 0.625

I am deeply confused here! Please help me!
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pushpitkc
Alternate approach

P(Total) = 1 | P(Event A) = 0.4 | P(Both) = 0.25 (from question stem)

P(Neither) = 1 - P(Either event A or event B) = 1 - 0.6 = 0.4

P(Total) = P(Event A) + P(Event B) - P(Both) + P(Neither)

Substituting values, \(1 = 0.4 + P(Event B) - 0.25 + 0.4\)
-> \(1 = 0.8 - 0.25 + P(Event B)\) -> \(P(Event B) = 1 - 0.55\) = 0.45(Option C)

Please forgive my ignorance, but why P(B) not equal to 0.625??
as P(A) = .40
P(A and B) = P(A) * P(B) = .25
P(B) = .25/P(A) = 0.625

Secondly, can you please explain what do you mean by "1 | P(Event A) = 0.4 | P(Both)" =0.25? I am not familiar with why "total 1" sign "|" P(A)=0.4 sign "|" P(Both)?

I am deeply confused here! Please help me!
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pushpitkc
Alternate approach

P(Total) = 1 | P(Event A) = 0.4 | P(Both) = 0.25 (from question stem)

P(Neither) = 1 - P(Either event A or event B) = 1 - 0.6 = 0.4

P(Total) = P(Event A) + P(Event B) - P(Both) + P(Neither)

Substituting values, \(1 = 0.4 + P(Event B) - 0.25 + 0.4\)
-> \(1 = 0.8 - 0.25 + P(Event B)\) -> \(P(Event B) = 1 - 0.55\) = 0.45(Option C)

Please forgive my ignorance, but why P(B) not equal to 0.625??
as P(A) = .40
P(A and B) = P(A) * P(B) = .25
P(B) = .25/P(A) = 0.625

Secondly, can you please explain what do you mean by "1 | P(Event A) = 0.4 | P(Both)" =0.25? I am not familiar with why "total 1" sign "|" P(A)=0.4 sign "|" P(Both)?

I am deeply confused here! Please help me!

Hi gaoyuskr

Probability formula: Event (A OR B) or P (A U B)
where P (A ∩ B) = P(A and B)

P (A U B) = P (A) + P (B) – P (A ∩ B)

Using values: .6 = .4 + P(B) - .25

P(B) = .45

Option C!

Hope it is clear.
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shrive555
The probability that event A occurs is 0.4, and the probability that events A and B both occur is 0.25. If the probability that either event A or event B occurs is 0.6, what is the probability that event B will occur?

A. 0.05
B. 0.15
C. 0.45
D. 0.50
E. 0.55

Bunuel when we talk about the probability of occurrence of both A or B, do we exclude the probability of occurrence of A & B simultaneously? If so, why? I tried solving this using Venn diagram. I could arrive at the correct answer only when I excluded P(A and B) from 0.6
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