The Probability Scale: All probabilities are bounded by the interval . A probability of indicates an impossible event, while a probability of indicates a certain event.
Sum of Probabilities: The sum of the probabilities of all distinct outcomes in a sample space must exactly equal . This represents the certainty that something within the sample space must happen.
Notation: The probability of event occurring is written as . The condition must always hold true for any valid probability model.
If outcomes are weighted differently (e.g., a biased die or weather patterns), the probability of an event is found by summing the individual probabilities of all outcomes contained within that event.
for all in event .
Definition: The complement of event (denoted or ) consists of all outcomes in the sample space that are not in .
The Complement Rule: Since an event either happens or it does not, the sum of the probability of an event and its complement is always .
Formula:
Sanity Check: Always ensure your final answer is between 0 and 1. If you calculate a probability of 1.2 or -0.1, a calculation error has occurred.
Total Probability: Verify that the sum of all probabilities in your distribution equals exactly 1. This is a common diagnostic tool for checking your work.
Keyword Recognition: Words like 'not', 'except', or 'at least' often signal that using the Complement Rule will be faster than direct calculation.
Precision: Keep probabilities as exact fractions unless the question specifically requests a decimal. If using decimals, do not round prematurely during intermediate steps.