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To solve this problem, we need to determine the expected number of heads observed when flipping 100 coins, selected randomly and with replacement, from a bag containing three types of coins:
Define Variables:
Probability of Drawing Each Type of Coin:
Expected Number of Heads from Each Coin Type:
Calculate the Overall Expected Number of Heads:
The expected number of heads from a single flip can be calculated by summing up the expected heads from each type of coin:
E(H)=(Nx×0.5)+(Ny×1)+(Nz×0)
Simplifying this, we get:
E(H)=N0.5x+y
Expected Number of Heads in 100 Flips:
Since each coin flip is an independent event, the expected number of heads in 100 flips is:
E(100H)=100×(N0.5x+y)
Conclusion:
The expected number of heads observed when flipping 100 coins randomly with replacement is given by:
x+y+z100(0.5x+y)
This formula accounts for the probabilities of drawing each type of coin and their respective contributions to the expected number of heads in 100 flips.