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Mathematics 10 Online
OpenStudy (anonymous):

question is attached...

OpenStudy (anonymous):

where? lol

OpenStudy (anonymous):

OpenStudy (anonymous):

what is that ? :o its just full of f >.<

OpenStudy (anonymous):

:( what why?

OpenStudy (anonymous):

? :/

OpenStudy (anonymous):

:p what the crap. I have no clue why its like that...

OpenStudy (anonymous):

Same here i see all Fs too.

OpenStudy (anonymous):

Oh i can see it now.

OpenStudy (anonymous):

get the probability of a 55 year old person or older 100 out of 300 = 1/3 Then find the probability of a 55 year old person or older having a shot 90 out of 100 = .9 And so .9 * 1/3 is .3 Your answer is...

OpenStudy (anonymous):

.33

OpenStudy (anonymous):

Yes :)

OpenStudy (anonymous):

thank u!

OpenStudy (anonymous):

ok what abt this now?

OpenStudy (anonymous):

I'll try ma best.

OpenStudy (anonymous):

OpenStudy (anonymous):

then howd u see the last question??

OpenStudy (anonymous):

ok

OpenStudy (anonymous):

what

OpenStudy (anonymous):

...so u don't know it??

OpenStudy (anonymous):

:( darn it

OpenStudy (anonymous):

@mary.rojas

OpenStudy (anonymous):

if u cant read it here's the problem:

OpenStudy (anonymous):

true or false: For any two events X and Y, P(Y|X)+P(X|Y)=0

OpenStudy (anonymous):

anyone know?

OpenStudy (mary.rojas):

DURING MY RESEARCH, I FOUND THIS: LOL HOPE IT HELPS P(X|Y) = P(X n Y) / P(Y) P(Y|X) = P(Y n X) / P(X) Now, X n Y = Y n X, so P(X n Y) = P(Y n X). That means that P(X|Y) = P(Y|X) is equivalent to: P(X n Y) / P(Y) = P(X n Y) / P(X) P(X)P(X n Y) = P(Y)P(X n Y) P(X)P(X n Y) - P(Y)P(X n Y) = 0 (P(X) - P(Y))P(X n Y) = 0 P(X) = P(Y) or P(X n Y) = 0 That is, the above is true if and only if X and Y are equally likely, or if X and Y are mutually exclusive. Oh, and since we were dividing by P(X) and P(Y), both must be possible, i.e. non-zero probability. So, in general, this is false. Let's find an example. Say you have two coins, and you flip them both simultaneously. Let: X = at least one head Y = two heads Notice that X and Y are not mutually exclusive, and that P(X) = 1/2, P(Y) = 1/4, so they have both non-zero probabilities and are not equally likely. This should indicate that P(X|Y) does not equal P(Y|X). P(X|Y) = 1 P(Y|X) = 1/2 That's a counterexample, so the equation is false.

OpenStudy (anonymous):

wow. ok thank u :)

OpenStudy (mary.rojas):

HERE IS THE LINK : http://answers.yahoo.com/question/index?qid=20100802180944AAiWVD3 SCROLL DOWN

OpenStudy (anonymous):

is ur answer just based on that??

OpenStudy (anonymous):

yea tats what I was thinking..

OpenStudy (anonymous):

that's

OpenStudy (anonymous):

if I miss one im already at like an A- or even a B plus...

OpenStudy (mary.rojas):

yes my answer is based on that because I have no clue how to help you lol. But I gave you the link so, you could see a similar if not the same kind of problem to help you get an answer. sorry :/ theres another reply as well. i know u hate that website but sometimes it can be right. hopefully someone else can help u more

OpenStudy (anonymous):

ok.. so I guess ill say false then..

OpenStudy (mary.rojas):

wait did u see the link because it is a different q but similar kind

OpenStudy (anonymous):

yea but I still don't know how to do it..

OpenStudy (mary.rojas):

*q=question btw

OpenStudy (anonymous):

i know that

OpenStudy (mary.rojas):

oh ok lol

OpenStudy (anonymous):

isn't there anyone else who knows this? :/

OpenStudy (mary.rojas):

@mathstudent55 help?

OpenStudy (mary.rojas):

@primeralph help? :)

OpenStudy (primeralph):

Can't get to the file. Need screenshot.

OpenStudy (anonymous):

this is the question:

OpenStudy (anonymous):

True or False: For any two events X and Y, P(Y|X)+P(X|Y)=0

OpenStudy (primeralph):

Is that all?

OpenStudy (primeralph):

@music101

OpenStudy (anonymous):

yes

OpenStudy (primeralph):

Appears false.

OpenStudy (primeralph):

@Luis_Rivera

OpenStudy (primeralph):

I'd say false.

OpenStudy (anonymous):

ok thank uall

OpenStudy (anonymous):

next q:

OpenStudy (anonymous):

You roll two dice. let event A be "The first die shows a 1 or a 6" and event B "The second die shows an even number." What is P(A|B)?

OpenStudy (anonymous):

is it 1/3?

OpenStudy (anonymous):

@benhan0406 do u know?

OpenStudy (mary.rojas):

i found this : I think some people are confused about your notation. I interpret this as "the probability of A such that B", but I'm not sure what you mean. If that is what it means, this is it. (1/3)*(1/2)=(1/6) A B If that seems wrong, post again with more information

OpenStudy (mary.rojas):

and this: P(B) = 3/6 = 1/2 P(A and B) = 1/6 P(A|B) = P(A and B) / P(B) = (1/6) / (1/2) = 1/3

OpenStudy (anonymous):

ok... but the way they got 1/3 is (1/6)*(1/2) ??? (1/6)*(1/2)= 1/12...

OpenStudy (anonymous):

@blurbendy

OpenStudy (mary.rojas):

no its (1/6) / (1/2) = 1/3... dividing not multiplying. !!!

OpenStudy (mary.rojas):

ohhhhhhhhh the first one is multiplying i seee

OpenStudy (anonymous):

oh ok well I said 1/3 anyways

OpenStudy (anonymous):

yea..

OpenStudy (mary.rojas):

hmmmm idk....... do you multiply or divide?

OpenStudy (anonymous):

wait here's new question instead and don't do research... Which choice correctly expresses the probability of the following? "What is the probability that I will ace this quiz? I mean, I did study awfully hard for it." A. P(I ace the quiz) I P(I studied hard) B. P(I ace the quiz and I studied hard) C. I ace the quiz | I studied hard D. I ace the quiz and I studied hard E. P( I ace the quiz | I studied hard)

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