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Course: Statistics — Third Secondary
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Expectation and Variance

Statistics — Third Secondary

Expectation and Variance

Expectation in games and decisions

Expectation in games and decisions

  • Expectation is used to find the expected gain or loss in the long run.
  • If the expected gain of the player is positive, the game favours the player.
  • If it is negative, the game favours the organiser.
  • If it is zero, the game is fair.
  • Note that a negative expectation does not mean that the player loses every time; it is the long-run average.
  • The standard deviation in such cases tells us how much the gain fluctuates around its average, that is, how risky the game is.
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