A gambler bets n times. Each time the gambler bets, 20% of the time he wins $10 and 80% of the time he loses $5. What is the expected gain (which can be negative) after n bets?
The expected value of an “experiment” is the long-run average—if the experiment could be repeated many times, the expected value is the average of all the results.
The expeced value is given by:
E[X] = xi.p(xi)
where, xi is the random variable & p(xi) is the probability of random variable xi.
Here in this case,
xi | $10 profit = +10 | $5 loss = -5 |
p(xi) | 20% = 20/100 = 0.2 | 80% = 80/100 = 0.8 |
The expected value for this case can be defined as,
Expected value = ( probability of event 1) ( payoff for event 1) + (probability of event 2) (payoff for event 2)
So, Expected gain = (+10)* 0.2 + (-5)*0.8 = 2 - 4 = - 2
The expected gain is negative for this case, hence the gambler had lose of $2 after n bets.
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