- Probability
- A measure of the likelihood that an event will occur, between 0 and 1.
- Event
- An outcome or a set of outcomes of a random phenomenon or experiment.
- Sample Space
- The set of all possible outcomes in a probability experiment.
- Mutually Exclusive Events
- Two or more events that cannot occur at the same time.
- Independent Events
- Events where the occurrence of one does not affect the probability of the other.
- Dependent Events
- Events where the occurrence of one event affects the probability of the other.
- Expected Value
- The average value of a random variable over a large number of experiments or trials.
- Conditional Probability
- The probability of an event occurring given that another event has already occurred.
- Compound Probability
- The likelihood of two or more independent events occurring together.
- Probability Axiom
- A fundamental rule in probability stating that the probability of the entire sample space is 1.
- Addition Rule
- A rule used to find the probability of the union of two events.
- Multiplication Rule
- A rule used to find the probability of the intersection of two independent events.
- Law of Total Probability
- A principle that breaks down the probability of an event into a sum of probabilities under different conditions or scenarios.
- Random Variable
- A variable whose value is subject to variations due to chance.
- Probability Distribution
- A mathematical function that provides the probabilities of occurrence of different possible outcomes.
- Normal Distribution
- A probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.