Questions: Find the expected value of the winnings from a game that has the following payout probability distribution: Payout () 0 2 5 10 25 Probability 0.61 0.24 0.10 0.04 0.01 Expected Value =

Find the expected value of the winnings from a game that has the following payout probability distribution:
Payout () 0 2 5 10 25
Probability 0.61 0.24 0.10 0.04 0.01

Expected Value =
Transcript text: Find the expected value of the winnings from a game that has the following payout probability distribution: \begin{tabular}{c|ccccc} Payout (\$) & 0 & 2 & 5 & 10 & 25 \\ \hline Probability & 0.61 & 0.24 & 0.10 & 0.04 & 0.01 \end{tabular} Expected Value $=$ $\square$
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Solution

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Solution Steps

To find the expected value of the winnings from the game, we need to multiply each payout by its corresponding probability and then sum these products.

Step 1: Define the Payouts and Probabilities

We are given the payouts and their corresponding probabilities: \[ \begin{array}{c|ccccc} \text{Payout (\$)} & 0 & 2 & 5 & 10 & 25 \\ \hline \text{Probability} & 0.61 & 0.24 & 0.10 & 0.04 & 0.01 \\ \end{array} \]

Step 2: Calculate the Expected Value

The expected value \(E\) of the winnings is calculated using the formula: \[ E = \sum_{i=1}^{n} (x_i \cdot p_i) \] where \(x_i\) are the payouts and \(p_i\) are the corresponding probabilities.

Substituting the given values: \[ E = (0 \cdot 0.61) + (2 \cdot 0.24) + (5 \cdot 0.10) + (10 \cdot 0.04) + (25 \cdot 0.01) \]

Step 3: Perform the Multiplications

\[ \begin{align_} 0 \cdot 0.61 &= 0 \\ 2 \cdot 0.24 &= 0.48 \\ 5 \cdot 0.10 &= 0.50 \\ 10 \cdot 0.04 &= 0.40 \\ 25 \cdot 0.01 &= 0.25 \\ \end{align_} \]

Step 4: Sum the Products

\[ E = 0 + 0.48 + 0.50 + 0.40 + 0.25 = 1.63 \]

Final Answer

The expected value of the winnings is: \[ \boxed{1.63} \]

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