Suppose you play in a game where it is possible to lose P100, break even, win P300, or win P1000 each time you play. The probability distribution for each outcome is provided by the following table: -P100 P0.00 P300 P1000 P(X=x) 0.30 0.40 0.20 0.10 Calculate the expected outcome from this game.

Structural Analysis
6th Edition
ISBN:9781337630931
Author:KASSIMALI, Aslam.
Publisher:KASSIMALI, Aslam.
Chapter2: Loads On Structures
Section: Chapter Questions
Problem 1P
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() +(-)
50
E(x) =
90
40
E(x) =
4.
-
E(x) = -10
This means that the man is expected to lose 10 candies if he keeps playing
this game.
Try It Yourself!
Suppose you play in a game where it is possible to lose P100, break even, win P300,
or win P1000 each time you play. The probability distribution for each outcome is
provided by the following table:
-P100
P0.00
P300
P1000
P(X=x}
0.30
0.40
0.20
0.10
Calculate the expected outcome from this game.
Transcribed Image Text:() +(-) 50 E(x) = 90 40 E(x) = 4. - E(x) = -10 This means that the man is expected to lose 10 candies if he keeps playing this game. Try It Yourself! Suppose you play in a game where it is possible to lose P100, break even, win P300, or win P1000 each time you play. The probability distribution for each outcome is provided by the following table: -P100 P0.00 P300 P1000 P(X=x} 0.30 0.40 0.20 0.10 Calculate the expected outcome from this game.
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