DB wrote:
Since the return is 1.01 then if x is the average amount for the
nonruin people the
1.01 = (-1000(2500)+9000x)/(10,000+8000)
so x = (1.01(18000) +1000(2500))/9000 = 279.798
and their ER = 1 + 279.798/10000 = 1.0279798
where do I pick up my prise!
DB
Much appreciated, DB.
There's a modest slip in that you reference hands played rather than
convert to coin-in for the ER calculation.
Just to spell out in "long hand":
> ----------
>
> Over a period of time, 10000 players approach a $1 game that has
> an expected return (ER) of 101% when played with max-ER strategy.
> They're each staked with $2500. They play 10,000 hands and return
> the proceeds. If they bust, they report the hand at which they
> bust.
>
> Statistically it's expected that 1000 of the players will bust and
> that they will do so at their 8000th hand on average.
>
> ----------
>
> Of the players who bust, what is their expected return from their
> play (coin out/coin in)?
Expressed on a per player basis:
Coins in on average = 8000 * 5 = 40000
Coins out = 40000 - 2500 loss = 37500
E.R. of those who bust = 37500/40000 = 93.75%
(and, as a reminder, this is purely a reference to an expected result.
It implies know foreknowledge of how those who ruin will perform, and
how many will actually ruin.)
> Of the players who play the full 10,000 hands, what is their
> expected return from the play?
We know that of the expected 9000 who complete their play, a total of
90 mil. hands will have been played. That's total coin in of $450 mil.
For the group of 1000 who are expected to bust, on average of 8000
hands are expected to be played. That's 8 mil. hands and coin in of
$40 mil.
Total expected coin in of the entire field of 10000 players is $450 +
$40 = $490 mil.
As a whole, the results of the players will be expected to conform to
the stated 101% ER of the game. Expected coin out will be $490 mil. *
1.01 = $494.9 mil, for a net gain of $4.9 mil.
Because we expect that the subset of players who bust will have a
loss of $2500 each, or $2.5 mil for the 1000 players in total, it's
expected that the 9000 players who play through the full 10,000 hand
trial will profit by $7.4 mil. (7.4 win - 2.5 loss = 4.9 net win)
Therefore, this subset, with expected coin in of $450.0 mil and coin
out of $457.4 mil, will have an ER of 457.4/450.0 = 101.64%.
> From the casino's perspective, what is their expected hold under
> these assumptions (express as coin held/coin in)?
This is the crux of the exercise: To show that when an ER for each of
the two player subsets is expressed as above, those values can be
reconciled to the ER of the casino.
The casino ER is a no-brainer: it's 99%. ($99 won for every $100
wagered ... for the players it's $101 won for every $100 wagered).
The reconciliation of players' ERs is (using an weighted average of
the above ER's, total hands - 98 mil - played by each group being
weighted):
93.75%*(8 mil/98 mil) + 101.64%*(90 mil/98 mil)
7.653% + 93.343% = 101.0% (cut be a break on the .004% rounding
difference, ok? 
- Harry