Probability for Everyday Decisions
Introduction to Probability
What Are the Odds?
Probability is simply a way to measure how likely something is to happen. We use it all the time, even if we don't think about it. When a weather app says there's a 70% chance of rain, it's talking about probability. It's a number between 0 and 1 that quantifies uncertainty.
A probability of 0 means an event is impossible. A probability of 1 means it's absolutely certain.
For example, the probability of a standard six-sided die landing on a 7 is 0. It can't happen. The probability that it will land on a number less than 7 is 1, because that covers all the possible outcomes.
Most events fall somewhere in between. A coin flip has a 0.5 probability of landing on heads. This doesn't mean you'll get heads exactly half the time in a few flips, but it's the long-term expectation. The basic formula to calculate the probability of an event is:
Let's stick with the die roll. What's the probability of rolling a 4? There's only one way to get a 4 (a favorable outcome) and six possible outcomes in total (1, 2, 3, 4, 5, 6). So, the probability is $1/6$.
Mapping All Possibilities
To calculate probability, we first need to know all the things that could happen. In probability, this complete set of all possible outcomes is called the sample space.
Sample Space
noun
The set of all possible outcomes of a random experiment.
An event is a specific outcome or a set of outcomes you're interested in. It's a subset of the sample space. For example, rolling an even number on a die is an event. The outcomes that satisfy this event are {2, 4, 6}, which is a part of the die's full sample space.
Here, the probability of event A (rolling an even number) is the number of outcomes in A divided by the total number of outcomes in S. That's 3 favorable outcomes divided by 6 total outcomes, so .
The Rules of the Game
Probability isn't arbitrary; it follows a few straightforward rules. These are often called the axioms of probability, and they provide the foundation for everything else.
- The probability of any event is a non-negative number. It must be between 0 and 1, inclusive. You can't have a negative chance or a chance greater than 100%.
- The probability of the entire sample space is 1. One of the possible outcomes must occur.
- If two events are mutually exclusive (meaning they cannot happen at the same time), the probability of one or the other happening is the sum of their individual probabilities.
For instance, you can't roll a 1 and a 3 on a single die at the same time. These events are mutually exclusive. The probability of rolling a 1 is $1/6$, and the probability of rolling a 3 is also $1/6$. So, the probability of rolling a 1 or a 3 is:
These three principles are the building blocks we use to navigate the world of chance. They allow us to make sense of uncertainty in a logical, consistent way.
Which of the following best describes what probability is?
A standard six-sided die is rolled. What is the probability of rolling an even number?
Understanding these core ideas is the first step toward using probability to make better decisions, whether you're playing a board game or evaluating a business risk.