How to Calculate Expected Value

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Expected Value Calculator

The Expected Value (EV) is a fundamental concept in probability and statistics, representing the average outcome of a random variable over a large number of trials. Use this calculator to determine the expected value of a decision, investment, or game by inputting the possible outcomes and their corresponding probabilities.

What is Expected Value?

Expected Value (EV) is a weighted average of all possible outcomes of a random variable. It tells you what you can expect to gain or lose on average if you repeat a process many times. It's a powerful tool for making decisions under uncertainty, especially in situations involving risk and reward.

The Expected Value Formula

The formula for Expected Value is:

EV = Σ (Outcome Valuei × Probabilityi)

  • EV: Expected Value
  • Σ: Summation (meaning you add up all the products)
  • Outcome Valuei: The value or payoff of a specific outcome (e.g., profit, loss, points gained).
  • Probabilityi: The probability of that specific outcome occurring (expressed as a decimal between 0 and 1, where 1 represents 100%).

To calculate EV, you multiply each possible outcome by its probability and then sum up all these products.

How to Use the Expected Value Calculator

  1. Enter Outcome Value: For each possible scenario or event, input the numerical value associated with that outcome. This could be a monetary gain, a loss (entered as a negative number), points, or any quantifiable result.
  2. Enter Probability: For each outcome, enter its probability of occurring as a decimal between 0 and 1. For example, a 50% chance is 0.5, a 25% chance is 0.25.
  3. Add More Outcomes: If you have more than two possible outcomes, click the "Add Another Outcome" button to add new rows for input.
  4. Remove Outcomes: If you've added too many rows or made a mistake, click the "Remove" button next to the respective outcome.
  5. Calculate: Once all outcomes and their probabilities are entered, click "Calculate Expected Value".
  6. Review Results: The calculator will display the total Expected Value. It will also issue a warning if your probabilities do not sum up to 1 (or 100%), which is crucial for a complete set of outcomes.

Practical Applications of Expected Value

Expected Value is used across various fields:

  • Gambling and Games: To determine if a bet is favorable in the long run. For example, in a lottery, the EV is almost always negative, indicating an average loss over many plays.
  • Business Decisions: Companies use EV to evaluate potential investments, product launches, or marketing campaigns by weighing potential profits against the probability of success or failure.
  • Insurance: Actuaries use EV to set premiums, calculating the expected cost of claims against the probability of those claims occurring.
  • Personal Finance: When considering investments or making financial choices, EV can help assess the potential average return.

Interpreting the Expected Value

  • Positive EV: Indicates that, on average, you can expect to gain from the activity over many repetitions. This is generally desirable.
  • Negative EV: Suggests that, on average, you can expect to lose from the activity over many repetitions. This is generally undesirable.
  • Zero EV: Implies a fair game or decision, where you can expect to neither gain nor lose on average.

It's important to remember that EV is a long-run average. A positive EV doesn't guarantee a win on any single trial, just that the odds are in your favor over time.

Example: A Simple Business Decision

Imagine a company is considering launching a new product. There are three possible scenarios:

  • High Success: $1,000,000 profit with a 20% probability (0.20)
  • Moderate Success: $200,000 profit with a 50% probability (0.50)
  • Failure: -$500,000 loss (cost of development) with a 30% probability (0.30)

Using the calculator:

  1. Outcome 1: Value = 1000000, Probability = 0.20
  2. Outcome 2: Value = 200000, Probability = 0.50
  3. Outcome 3: Value = -500000, Probability = 0.30

Calculation:

  • (1,000,000 × 0.20) = 200,000
  • (200,000 × 0.50) = 100,000
  • (-500,000 × 0.30) = -150,000

Expected Value = 200,000 + 100,000 – 150,000 = $150,000

The expected value of launching this product is $150,000, suggesting it's a favorable decision on average.

var outcomeRowCount = 2; // Initialize with the number of pre-existing rows function addOutcomeRow() { outcomeRowCount++; var container = document.getElementById('outcomeInputs'); var newRow = document.createElement('div'); newRow.className = 'outcome-row'; newRow.id = 'outcomeRow_' + outcomeRowCount; var valueLabel = document.createElement('label'); valueLabel.htmlFor = 'value_' + outcomeRowCount; valueLabel.textContent = 'Outcome Value:'; newRow.appendChild(valueLabel); var valueInput = document.createElement('input'); valueInput.type = 'number'; valueInput.id = 'value_' + outcomeRowCount; valueInput.value = '0'; // Default value newRow.appendChild(valueInput); var probLabel = document.createElement('label'); probLabel.htmlFor = 'probability_' + outcomeRowCount; probLabel.textContent = 'Probability (0-1):'; newRow.appendChild(probLabel); var probInput = document.createElement('input'); probInput.type = 'number'; probInput.id = 'probability_' + outcomeRowCount; probInput.step = '0.01'; probInput.min = '0'; probInput.max = '1'; probInput.value = '0'; // Default probability newRow.appendChild(probInput); var removeButton = document.createElement('button'); removeButton.type = 'button'; removeButton.textContent = 'Remove'; removeButton.onclick = function() { removeOutcomeRow(this); }; newRow.appendChild(removeButton); container.appendChild(newRow); } function removeOutcomeRow(buttonElement) { var rowToRemove = buttonElement.parentNode; rowToRemove.parentNode.removeChild(rowToRemove); } function calculateExpectedValue() { var totalExpectedValue = 0; var totalProbability = 0; var outcomeRows = document.querySelectorAll('.outcome-row'); var resultDiv = document.getElementById('expectedValueResult'); resultDiv.innerHTML = "; // Clear previous results var hasError = false; if (outcomeRows.length === 0) { resultDiv.innerHTML = 'Please add at least one outcome to calculate.'; return; } for (var i = 0; i < outcomeRows.length; i++) { var row = outcomeRows[i]; var rowIdNum = row.id.split('_')[1]; // Extract the number from 'outcomeRow_X' var valueInput = document.getElementById('value_' + rowIdNum); var probInput = document.getElementById('probability_' + rowIdNum); // Check if inputs exist before trying to access their values if (!valueInput || !probInput) { resultDiv.innerHTML += 'Error: Missing input fields for an outcome row. Please ensure all rows are complete.'; hasError = true; break; } var value = parseFloat(valueInput.value); var probability = parseFloat(probInput.value); if (isNaN(value) || isNaN(probability)) { resultDiv.innerHTML += 'Error: Please enter valid numbers for all outcome values and probabilities.'; hasError = true; break; } if (probability 1) { resultDiv.innerHTML += 'Error: Probability for Outcome ' + (i + 1) + ' must be between 0 and 1.'; hasError = true; break; } totalExpectedValue += value * probability; totalProbability += probability; } if (hasError) { return; // Stop if there was an input error } var probabilityTolerance = 0.001; // Allow for small floating point inaccuracies if (Math.abs(totalProbability – 1) > probabilityTolerance) { resultDiv.innerHTML += 'Warning: The sum of probabilities is ' + totalProbability.toFixed(3) + '. For a complete set of outcomes, probabilities should sum to 1.'; } resultDiv.innerHTML += '

Calculated Expected Value: ' + totalExpectedValue.toFixed(4) + '

'; }

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