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Mathematics 17 Online
OpenStudy (anonymous):

posted pic

OpenStudy (anonymous):

OpenStudy (anonymous):

@primeralph

OpenStudy (anonymous):

@mebs

OpenStudy (anonymous):

The meaning of E(x) is the expected value in a distribution. \[E(x) = \frac{ x }{ \mu} \] where mew is usually the mean.

OpenStudy (anonymous):

what is mew?

OpenStudy (anonymous):

Its the symbol \[\mu \]

OpenStudy (anonymous):

so ho would I plug it in to solve

OpenStudy (anonymous):

its called the population mean right?

OpenStudy (anonymous):

In your case its means Probability.. I think \[0.07 = \frac{ 13 }{ \mu } \]

OpenStudy (anonymous):

ok so then I would solve for the u right?

OpenStudy (anonymous):

Do a few of them and see what mew is...its been a while...

OpenStudy (anonymous):

well in my notes its a population mean.. what do u mean do a few of them

OpenStudy (anonymous):

well there are a few to do like for 0.21 and 0.17...

OpenStudy (anonymous):

The expected value is what you expect to get .... its not really the actual probability..

OpenStudy (anonymous):

yea I know, I just don't understand ho id solve though. for the one u plugged in above, id multiply 7 times the mew and then do 13 divided by that right?

OpenStudy (anonymous):

you could try that.

OpenStudy (anonymous):

its not on your calculator... its a generic term...you could use c or d of f or lamda..

OpenStudy (anonymous):

yea but if I multiply that mew by 7 what would I get..

OpenStudy (anonymous):

@gypsy1274

OpenStudy (anonymous):

you would get 7mew... why would you do that?

OpenStudy (anonymous):

ok. so how do I even solve for the expected value then?

OpenStudy (anonymous):

just graph it... |dw:1375049464527:dw|

OpenStudy (anonymous):

and then???

OpenStudy (anonymous):

it looks something like and M and they something after that

OpenStudy (anonymous):

Alright ... Expected value is what you usually expect to come up the most right.... So you see that 21 comes up 25% of the time..

OpenStudy (anonymous):

21??

OpenStudy (anonymous):

for x or y?

OpenStudy (anonymous):

im sorry I just don't understand this very much... I really don't like this unit :(

OpenStudy (anonymous):

Just do this E(x) = (13 * 0.07)+ (16 * 0.21) + (17*0.17)...etc really the expected value is the variable with the most frequent occurrences.

OpenStudy (anonymous):

I never like this unit either haha that's why I don't remember that well :P...

OpenStudy (anonymous):

Just continue what I started at the E(x) part and tell the sum of those products.

OpenStudy (anonymous):

ok so is this what u have to do IN ORDER TO FIND the EXPECTED VALUE??? multiply X BY p(X) AND KEEP DOING THAT AND ADD EM ALL UP????

OpenStudy (anonymous):

yes

OpenStudy (anonymous):

wow. :p u should've just said tht.

OpenStudy (anonymous):

ok so when I multiply (13*0.07) + (16*0.21) + ..... i got 20.42?

OpenStudy (anonymous):

sorry haha do you understand what expected value is though.. its not necessarily the most frequent outcome alright..

OpenStudy (anonymous):

yea I get it. so that's how I will always frind the expected value right?

OpenStudy (anonymous):

than that's your answer let me check yea...

OpenStudy (anonymous):

ok check it

OpenStudy (anonymous):

no its different for a standard distribution and hyper geometric distribution and etc... but yea your right..

OpenStudy (anonymous):

ok.. (and Idk what standard and geo is.. and the difference between them)

OpenStudy (anonymous):

ok so my answer is right? k ill submit it then

OpenStudy (anonymous):

alright fingers crossed..

OpenStudy (anonymous):

ill tell u when its right.. but I have a quick question before that

OpenStudy (anonymous):

what would that be?

OpenStudy (anonymous):

if they give u a table and ask u to find the standard deviation for X, "the number that comes up on the die" how do u find it

OpenStudy (anonymous):

\[\mu=\sum_{i=1}^{n}x _{i}p \left( x _{i} \right)\] for discrete distributions.

OpenStudy (anonymous):

Well the standard diviation is what pgpilot says expect the xi means x - u

OpenStudy (anonymous):

\[\mu=E \left( X \right)\]

OpenStudy (anonymous):

so wait what

OpenStudy (anonymous):

for example here's this question

OpenStudy (anonymous):

OpenStudy (anonymous):

\[VAR \left( X \right)=E \left( X ^{2} \right)-\left( E \left( X \right) \right)^{2}\] for discrete distributions and \[\sqrt{VAR \left( X \right)} = SD \left( X \right)\]

OpenStudy (anonymous):

|dw:1375050815278:dw|

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