Distribution with pmf and rand. variables.

[megr_ftw]

I posted this in the wrong section before and meant to put it here, so i apologize if you seen this before.

X=demand for the magazine with pmf

x | 1 2 3 4
p(x)| .1 .2 .4 .3

Shop owner pays $1.00 for each copy of mag. and charges $2.00. If mags. left at end of week are not worth anything, is it better to order two, three, or four copies of the mag.?

I know i need to introduce the random variables:
Y_k = # of mags. sold
R_k= the net profit if k mags are ordered.

I am NOT trying to just get the answer out of someone, I just need advice on how to start this..
Do I need to make another pmf for Y_k and R_k? Or do I need to figure out expected value.
just a hint may help me understand this problem

 

[bpet]

It looks like an open-ended question. First step could be to write down the profit for all 16 combinations {(1 bought, 1 sold), (1 bought, 2 sold), ...} perhaps as a 4x4 table.

 

[megr_ftw]

i don't think its open ended, because R_k= -1k+2*Y_k since R_k is the profit
could i simply find the expected value is 1, 2, or 3 are sold that's it?

 

[bpet]

That's the open-ended part, it's up to you to choose a selection criteria. Expected value is only one of infinitely many possibilities. It's good that you've got a formula for the profit though it's important to actually look at the values and their relative probabilities (for example, with an appropriate chart) otherwise important details can be hidden.

 

[megr_ftw]

okay the profit for k=2 i got 3.8

when i am calculating it for when k=3 is this equation correct? -1(3)+2(.1*1+.2*3.8+.4*3.8+.3*3.8)
i may be going off a longshot but i used the profit from k=2 for the values of x in this equation.

I just want to make sure I am doing k=3 right so i can figure out when k=4...