Understand that 'equally likely outcomes' refers to a situation in probability where each possible outcome of an experiment has the same chance of occurring.
Recognize that if there are \(n\) possible outcomes, and they are equally likely, then the probability of each outcome is \(\frac{1}{n}\).
Express this formally: if \(S\) is the sample space with \(n\) outcomes, then for each outcome \(s_i \in S\), \(P(s_i) = \frac{1}{n}\).
Note that this concept is fundamental in classical probability, where the assumption of equally likely outcomes simplifies the calculation of probabilities.
Remember that this definition applies only when no outcome is favored over another, such as rolling a fair die or flipping a fair coin.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Equally Likely Outcomes
Equally likely outcomes refer to events in a probability experiment that have the same chance of occurring. For example, when rolling a fair six-sided die, each face (1 through 6) is an equally likely outcome because each has a probability of 1/6.
The sample space is the set of all possible outcomes of a probability experiment. Understanding the sample space helps identify which outcomes are equally likely and is essential for calculating probabilities.
Probability measures the likelihood of an event occurring, expressed as a number between 0 and 1. When outcomes are equally likely, the probability of an event is the ratio of favorable outcomes to the total number of outcomes in the sample space.