00:01
So for part a, step one here, on the expected value of x, if x is the represent the amount of player wins in the game, our expected value of x is going to be each probability multiplied by its winnings, so our losings in most cases.
00:16
So we've got a 40 % chance.
00:18
That's a 0 .4 times 5 plus 0 .1 times a negative 8 plus 0 .2 times negative 5.
00:31
Plus 0 .3 times a negative 10.
00:34
So our expected value is going to be 0 .4 times 5, plus 0 .1 times a negative 8, plus 0 .2 times a negative 5, plus 0 .3 times a negative 10.
00:46
And that comes out to a negative 2 .8.
00:49
So the idea of the interpretation here is that for every...
00:59
Let's here.
01:00
The final position...
01:05
Okay, so for every, for every time playing, you can expect to lose $2 .80.
01:24
Anytime you play, that's the expected case there.
01:27
Okay, so for part b, if k represents a number of games until the game is fair, meaning our expected return is going to be zero.
01:36
Well, that's going to be, let's see here.
01:40
So if we look at it as it would be 0 .4 times 6.
01:47
Sorry, it's actually going to be this.
01:48
It's going to be 0 times.
01:50
We're going to put a k here, plus 0 .1 times a negative 8, plus 0 .2 times a negative 5, plus 0 .3 times a negative 10.
01:59
So we'll be able to solve for k through this.
02:01
So 0 is equal to 0 .4k, plus we've got 0 .1 times a negative 8, plus 0 .2.
02:06
2 times a negative 5 plus 0 .3 times a negative 10.
02:10
It comes out to a negative 4 .8.
02:13
We add that to the other side, so 4 .8 equals 0 .4k.
02:18
I'm going to divide all sides by 0 .4...