Problem 1
Question
If a game gives payoffs of \(\$ 10\) and \(\$ 100\) with probabilities 0.9 and \(0.1,\) respectively, then the expected value of this game is \(E=\) _____ \(\times 0.9+\) _____ \(\times 0.1\)
Step-by-Step Solution
Verified Answer
The expected value is 19.
1Step 1: Identify the Payoffs
In the exercise, there are two possible payoffs given: $10 and $100. These are the amounts you could win, depending on the outcome of the game.
2Step 2: Identify the Probabilities
The probability corresponding to the $10 payoff is given as 0.9, and the probability for the $100 payoff is 0.1.
3Step 3: Set Up the Expected Value Formula
The expected value of a game with different outcomes can be calculated using the formula: \[ E = (\text{payoff}_1 \times \text{probability}_1) + (\text{payoff}_2 \times \text{probability}_2) \] In this exercise, substitute the payoffs and probabilities into this formula.
4Step 4: Substitute the Values
Substitute \( \\(10 \) for \( \text{payoff}_1 \), \( 0.9 \) for \( \text{probability}_1 \), \( \\)100 \) for \( \text{payoff}_2 \), and \( 0.1 \) for \( \text{probability}_2 \) into the formula. This yields:\[ E = (10 \times 0.9) + (100 \times 0.1) \]
5Step 5: Calculate the Expected Value
Now perform the calculations:1. \( 10 \times 0.9 = 9 \)2. \( 100 \times 0.1 = 10 \)Add these two results together:\[ E = 9 + 10 = 19 \]
Key Concepts
Understanding ProbabilityExploring PayoffsSimplifying Mathematical Calculations for Expected Value
Understanding Probability
Probability helps us determine the likelihood that a specific event will occur.
It's expressed as a number between 0 and 1.
This understanding can guide decision-making based on the likelihood of various outcomes.
It's expressed as a number between 0 and 1.
- A probability of 0 means that the event is impossible.
- A probability of 1 means that the event is certain.
- Any value between 0 and 1 indicates the level of likelihood of the event occurring, with values closer to 1 signifying higher likelihood.
- A 90% chance, or 0.9 probability, of receiving a $10 payoff.
- A 10% chance, or 0.1 probability, of winning a $100 payoff.
This understanding can guide decision-making based on the likelihood of various outcomes.
Exploring Payoffs
Payoffs are the possible winnings or outcomes you may receive from a game or a decision.
They usually come in the form of monetary winnings, but can also represent other rewards. When calculating expected value, identifying all the potential payoffs is crucial.
In our scenario, we have two possible payoffs:
By understanding payoffs, you can better analyze the potential rewards and risks involved in various scenarios.
They usually come in the form of monetary winnings, but can also represent other rewards. When calculating expected value, identifying all the potential payoffs is crucial.
In our scenario, we have two possible payoffs:
- $10, received with a probability of 0.9
- $100, received with a probability of 0.1
By understanding payoffs, you can better analyze the potential rewards and risks involved in various scenarios.
Simplifying Mathematical Calculations for Expected Value
The expected value is a key concept to understand the potential average result of random events over time.
It is calculated as a weighted average of possible outcomes, where each outcome's weight is its probability.To calculate expected value:
It is calculated as a weighted average of possible outcomes, where each outcome's weight is its probability.To calculate expected value:
- Identify each possible payoff and its probability.
- Multiply each payoff by its associated probability.
- Sum all these results.
- For \(10 outcome: \(10 \times 0.9 = 9\)
- For \)100 outcome: \(100 \times 0.1 = 10\)
Other exercises in this chapter
Problem 1
True or false? In counting combinations, order matters.
View solution Problem 1
A binomial experiment is one in which there are exactly ______ outcomes. One outcome is called ______, and the other is called _____
View solution Problem 1
The set of all possible outcomes of an experiment is called the _____ _____ A subset of the sample space is called an ____.
View solution