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Calculators and Calculations
Home›Calculators and Calculations›How to Calculate an Expected Value: A Comprehensive Guide

How to Calculate an Expected Value: A Comprehensive Guide

By Matthew Lynch
October 14, 2023
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Introduction

In probability and statistics, the concept of expected value plays a crucial role in decision-making and risk analysis. It allows you to determine the average outcome of a random event over a large number of trials. This article will guide you through the process of calculating an expected value step by step, with examples to help you apply this valuable tool in various situations.

What is Expected Value?

The expected value (EV) is a measure of the central tendency or average outcome for a random variable. It represents the long-term value we can expect after multiple repetitions of the same event. The expected value is especially important in gambling, insurance, finance, and other fields where decisions are made based on probabilities and potential outcomes.

Calculating Expected Value: A Step-By-Step Guide

Step 1: Understand the Random Variable

A random variable is a quantity whose value depends on some element of chance. To calculate the expected value, begin by defining the random variable for which you want to calculate the expected value. These variables might represent winnings in a casino game or payoffs from an investment.

Step 2: Identify Possible Outcomes

List all possible outcomes for your random variable. For example, if you’re playing a dice game, there are six possible outcomes (1, 2, 3, 4, 5, and 6).

Step 3: Assign Probabilities to Each Outcome

For each outcome you have identified in Step 2, assign a probability. Probability values must fall between 0 (impossible) and 1 (certain), with all probabilities adding up to 1. In our dice example, each outcome has a probability of 1/6 as there are six equally likely outcomes.

Step 4: Calculate Expected Value

Multiply each outcome by its corresponding probability and sum up these products. This gives you the expected value of your random variable. Using our dice game example:

EV = (1 x 1/6) + (2 x 1/6) + (3 x 1/6) + (4 x 1/6) + (5 x 1/6) + (6 x 1/6)

EV = 1/6 (1+2+3+4+5+6) = 21/6 = 3.5

The expected value for a single roll of a fair six-sided dice is 3.5, which indicates the average outcome of rolling the dice over a large number of trials.

Conclusion

Calculating the expected value is an essential skill for understanding probabilities and making informed decisions in uncertain situations. By identifying your random variable, assigning probabilities to each outcome, and using simple arithmetic operations, you can master the process of calculating expected values with confidence. This foundational knowledge will prove invaluable in various scenarios, from gambling and investing to decision-making and risk analysis.

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