does anyone know how to calculate expected value? i have some problems that i can't solve.
go for it
1000 chances are sold at $5 a piece for a raffle. Grand prize of $650, two prizes of $275, and 5 prizes of $100. first, calculate the expected value. if it is not a fair game, find the fair price for the game.
E[ X ] = sum of probabilities * values E[ X ] = (1/1000)*650 + (2/1000)*275 + (5/1000)*100 + (992/1000)*(-5) E[ X ] = ???
-3.26?
you got it, so does that mean we have a fair game?
no because fair game would be zero. so how exactly do I figure out the fair price?
let p = price you want E[ X ] = 0 and you want to find the value of p that makes it zero
E[ X ] = (1/1000)*650 + (2/1000)*275 + (5/1000)*100 + (992/1000)*p 0 = (1/1000)*650 + (2/1000)*275 + (5/1000)*100 + (992/1000)*p solve for p
oh sry, it should be 0 = (1/1000)*650 + (2/1000)*275 + (5/1000)*100 + (992/1000)*(-p) solve for p to get your fair price
-1.71?
sorry i mean $1.71? per ticket
good, I'm getting the same pretty much
so if the price is $5 a ticket, then you expect to lose $3.26 on average if the price is around $1.71 a ticket, then you won't lose or gain any money. So it's a fair game for both parties.
thanks! i get it now. i have two other questions, can you help me with those?
a student is taking a standardized test consisting of multiple choice questions. one point is awarded for each correct answer. questions left blank do not get or lose points. if there are 8 options for each question and the student is penalized 1/2 point for each wrong answer, how many options must the student be able to rule out before the expected value of guessing is zero?
is that question similar to the other?
Does it say how many questions total there are?
no
ok let me think for a sec
I think it's E[ X ] = (1/8)*1 + (7/8)*(-1/2) but I'm still figuring out how to factor in the ones leave blank...hmm
*you leave blank*
i got -.3125 for that so far
maybe it's a case where we don't leave any blank
let's assume that
so if n = number of options you rule out then 8 - n is the number of options left over 8 - n - 1 = 7 - n is the number of wrong options so this means E[ X ] = (1/(8-n))*1 + ((7-n)/(8-n))*(-1/2) 0 = (1/(8-n))*1 + ((7-n)/(8-n))*(-1/2) solve that for n to get your answer
tell me what you get
im having trouble calculating it but it could be -5??
it's 5 actually, so you lost a sign somewhere
so if you rule out 5 options, then randomly guessing on every question you attempt will net you 0 points on average
ok got it
i have one more
this means that you will have 8-5 = 3 options to choose from and the expected value is E[ X ] = (1/3)*1 + (2/3)*(-1/2) E[ X ] = 0 which confirms the answer
assume you have a laptop worth $2,500 and there is a 4% chance that it will be lost or stolen during the next year. what would be a fair premium for the insurance? (assuming the insurance provider does not make a profit)
so the number of options the student must be able to rule out before the expected value of guessing becomes zero is 5?
yes
ok, thank you
Let p = premium amount E[ X ] = (0.04)*(2500) + (0.96)*(-p) 0 = (0.04)*(2500) + (0.96)*(-p) ... Fair premium is when E[X] = 0 solve for p and round to the nearest cent
so would i divide 100 by -0.96 to get p?
correct, you would get 0 = (0.04)*(2500) + (0.96)*(-p) 0 = 100 + (0.96)*(-p) -100 = (0.96)*(-p) 0.96p = 100 p = 100/0.96 p = 104.166666666667 p = 104.17
so the fair premium amount (for both parties) is $104.17
okay, thanks so much for the help!
np
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