Understanding Equally Likely Events in Probability Theory | A Comprehensive Guide to the Basics

Equally Likely Event

In probability theory, an equally likely event refers to a set of outcomes or events in which each outcome has the same probability of occurring

In probability theory, an equally likely event refers to a set of outcomes or events in which each outcome has the same probability of occurring. In other words, when all the outcomes of an event are equally likely to happen, they have an equal chance of being the final outcome.

For example, when flipping a fair coin, there are two equally likely outcomes: heads or tails. Since there are only two possibilities and the coin is fair, the chance of getting heads is 1/2 (or 50%) and the chance of getting tails is also 1/2 (or 50%).

Similarly, when rolling a fair six-sided die, each face (number from 1 to 6) has an equal chance of landing on top. So, the probability of getting any specific number is 1/6 (approximately 16.67%).

Equally likely events are often used as a fundamental assumption in probability calculations. When all outcomes are equally likely, the probability of an event occurring can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes.

More Answers: