Weight Every Outcome by Its Probability
Expected value is a probability-weighted average of modeled outcomes.
About 25 minutes, plus any extended practice
Supplied materials
- Paper or a browser scratch area; a calculator is optional unless rounding is requested.
- Supplied teaching case: A supplied fictional payoff model gives +8 points with probability 1/4 and −2 points with probability 3/4. Find expected payoff per trial. Candidate answers: (A) -0.5 points (B) 1 points (C) 1.5 points (D) 1/2 points.
- Independent check inputs: A supplied fictional payoff model gives +12 points with probability 1/4 and −3 points with probability 3/4. Find expected payoff per trial. Candidate answers: (A) -0.25 points (B) 1.5 points (C) 1.75 points (D) 3/4 points.
Learn the idea
Counting methods distinguish ordered roles from unordered groups. A probability model assigns chances to possible outcomes, and expected value or binomial counting combines those probabilities while preserving what a single trial can actually produce. Expected value is a probability-weighted average of modeled outcomes. Positive and negative payoffs both enter with their signs, and their probabilities must describe a complete valid distribution.
Here is the method on the supplied teaching case. Weight each outcome by its probability: 8/4−3(2)/4=2/4=1/2. Expected value is a long-run mean of this model, not a guaranteed single-trial payoff.
An expected value need not be a possible single outcome. This fictional points model is educational, not wagering advice; it describes a model’s average rather than guaranteeing a gain on any trial.
- Write or sketch the supplied teaching case, labeling its quantities and restrictions.
- Apply the method shown in the worked solution, keeping each intermediate equality or justified inference.
- Solve the independent check with its changed inputs before revealing feedback.
- Complete the three practice cases; explain which mathematical rule rules out one distractor in each case.
See the method in action
Teaching case: A supplied fictional payoff model gives +8 points with probability 1/4 and −2 points with probability 3/4. Find expected payoff per trial. Candidate answers: (A) -0.5 points (B) 1 points (C) 1.5 points (D) 1/2 points. Solution: Weight each outcome by its probability: 8/4−3(2)/4=2/4=1/2. Expected value is a long-run mean of this model, not a guaranteed single-trial payoff. The final answer is 1/2 points. An expected value need not be a possible single outcome. This fictional points model is educational, not wagering advice; it describes a model’s average rather than guaranteeing a gain on any trial.
Check your reasoning
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Helpful tips
- Expected value is a probability-weighted average of modeled outcomes.
- An expected value need not be a possible single outcome.
See the answer and explanation
3/4 points
Weight each outcome by its probability: 12/4−3(3)/4=3/4=3/4. Expected value is a long-run mean of this model, not a guaranteed single-trial payoff.
Take it further
Changed-input task: A supplied fictional payoff model gives +36 points with probability 1/4 and −9 points with probability 3/4. Find expected payoff per trial. Candidate answers: (A) 1.25 points (B) 3.25 points (C) 4.5 points (D) 9/4 points. Show the mathematical reason, not only the selected answer. Expected result: 9/4 points. Weight each outcome by its probability: 36/4−3(9)/4=9/4=9/4. Expected value is a long-run mean of this model, not a guaranteed single-trial payoff.
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