A casino manager is looking at the number of wins players have gotten from a particular game. The manager notices that over the last 10 times the game was played, the probability a player won was .20. By design, the probability a player wins is supposed to be .45. Since there is such a discrepancy between what the manager sees and the design of the game, how can the Law of Large Numbers help the manager make an informed decision on what to do about the situation? What should he do? He should close the game because there is obviously something wrong with the game. The player should be winning more often. He should let the game be played more since 10 times is not enough repetitions of the game for the Law of Large Numbers to apply