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Probability quantifies uncertainty. It is the mathematical language that underlies all of inferential statistics, from hypothesis testing to Bayesian reasoning. This lesson covers the core rules and concepts.
Probability is a number between 0 and 1 (or equivalently 0% and 100%) that describes the likelihood of an event occurring:
| Probability | Interpretation |
|---|---|
| 0 | Impossible — the event cannot occur |
| 0.5 | Equally likely — a coin toss |
| 1 | Certain — the event must occur |
| Term | Definition |
|---|---|
| Experiment | A process that produces well-defined outcomes (e.g., rolling a die) |
| Sample space (S) | The set of all possible outcomes |
| Event (A) | A subset of the sample space — a specific outcome or set of outcomes |
| Complement (A') | All outcomes in S that are not in A |
Example: Rolling a standard six-sided die
Sample space S = {1, 2, 3, 4, 5, 6}
Event A = "rolling an even number" = {2, 4, 6}
Complement A' = {1, 3, 5}
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