Thread: just to check a simple probability problem

I worked this simple problem and am not sure if it is correct and I have another 19 questions similar to this therefore I need to be sure of what I am doing.

The problem broken in simple terms..
company paced order for 2 products
event E => 1st product out of stock Pr(E)=0.3
event F => 2nd product out of stock Pr(F)=0.2
P(E or F) = 0.2

a) Pr( both out of stock) => (Pr(E)*(Pr(F)) = (0.3*0.2)= 0.6

b) are e and f independent => I think they are independent since e has nothing to do with f. (I am not sure if this is the correct reason). But if they were independent why should they have an intersection. Pr(EandF)

c) p(F given E) => P(F|E) = P(F and E) / P(E) = 0.6/0.3 and here I noticed I have worked wrong since Pr can never be greater than 1


well , should I reduce p(e or f)=0.4 thus
ans a ) 0.3*0.2-0.4 ??


Thanks in advance

Originally Posted by terence

I worked this simple problem and am not sure if it is correct and I have another 19 questions similar to this therefore I need to be sure of what I am doing.

The problem broken in simple terms..
company paced order for 2 products
event E => 1st product out of stock Pr(E)=0.3
event F => 2nd product out of stock Pr(F)=0.2
P(E or F) = 0.2

a) Pr( both out of stock) => (Pr(E)*(Pr(F)) = (0.3*0.2)= 0.6

b) are e and f independent => I think they are independent since e has nothing to do with f. (I am not sure if this is the correct reason). But if they were independent why should they have an intersection. Pr(EandF)

c) p(F given E) => P(F|E) = P(F and E) / P(E) = 0.6/0.3 and here I noticed I have worked wrong since Pr can never be greater than 1


well , should I reduce p(e or f)=0.4 thus
ans a ) 0.3*0.2-0.4 ??


Thanks in advance

For the first part remember that even if events are not indepentant that



You everything except the last one.

For the 2nd one you are correct two events are independant if

use your answer from the first part to answer this.

For part 3 just use the correct answer from part 1.

I hope this clears it up.

TES

Originally Posted by TheEmptySet

For the first part remember that even if events are not indepentant that

Oh this was my misconception then, i thought that this was for dependent events only.

Thanks

Originally Posted by terence

Oh this was my misconception then, i thought that this was for dependent events only.

Thanks

Remember if events are independant we have that



Then the formula becomes



This is the formula is they are independant!

Originally Posted by TheEmptySet

Remember if events are independant we have that

That is not correct.
We have if the events are mutually exclusive.
Independent events are not necessary mutually exclusive.

If the events are independent then

But for the problem P (A intersection B ) is not equal to 0. Therefore if I can understand well ,it can be confirmed that events are mutually exclusive. At the same time though events are independent.

If events are dependent, they are still multiplied but but P(B) will have a different value than the original one. (conditional probability should be taken care of then.)

Am i correct ?

Originally Posted by terence

I worked this simple problem and am not sure if it is correct and I have another 19 questions similar to this therefore I need to be sure of what I am doing.
The problem broken in simple terms..
company paced order for 2 products
event E => 1st product out of stock Pr(E)=0.3
event F => 2nd product out of stock Pr(F)=0.2
P(E or F) = 0.2

This question contains an internal error.
It is impossible for .
So either you copied it incorrectly or it is a faulty question.

it is 0.4 sorry, I typed incorrectly. I have worked the question out. a) 0.3*0.2-0.4 = 0.2 b)indipendent c) 0.2/0.3 =2/3

but i still have the following doubts..

"But for the problem P (A intersection B ) is not equal to 0. Therefore if I can understand well ,it can be confirmed that events are mutually exclusive. At the same time though events are independent.

If events are dependent, they are still multiplied but but P(B) will have a different value than the original one. (conditional probability should be taken care of then.)

Am i correct ?"

Originally Posted by terence

it is 0.4 sorry, I typed incorrectly.

a) .

b) Therefore, they are not independent.

c)

Originally Posted by Plato

a) .

Isn't it like this ?

Originally Posted by terence

Isn't it like this ?

That is simply and completely wrong.

This is the rule:
thus