Classical Probability and Probability Properties

This page delves deeper into probability theory, focusing on classical probability and the fundamental properties of probability functions.

Classical probability is introduced as a scenario where all outcomes of an experiment are equally likely. The formula P(A) = |A| / |Ω| is presented, where |A| represents the number of favorable outcomes and |Ω| is the total number of possible outcomes.

Example: In a fair coin toss, the probability of getting heads is 1/2, as there is one favorable outcome (heads) out of two possible outcomes (heads or tails).

The page then outlines the key properties of probability functions:

1. Probability values are always between 0 and 1 inclusive.
2. The probability of an impossible event is 0, while the probability of the entire sample space is 1.
3. For mutually exclusive events, the probability of their union is the sum of their individual probabilities.

Vocabulary: Mutually exclusive events are events that cannot occur simultaneously.

Additional properties are presented, including the relationship between the probabilities of an event and its complement, and formulas for calculating probabilities of unions and set differences of events.

Fundamentals of Probability Theory

This page introduces core concepts in probability theory, focusing on counting principles and types of events. It covers the multiplication rule, permutations, variations, and random events.

The multiplication rule is explained as a method to calculate the total number of ways to make a series of choices.

Definition: Permutations are defined as sequences created from all elements of a set, calculated using the formula n! = 1 · 2 · 3 · ... · n.

Variations are presented in two forms: without repetition and with repetition. The page also defines random events as subsets of the sample space.

Highlight: The page emphasizes important concepts such as impossible events (empty set) and mutually exclusive events (A ∩ B = Ø).

The notion of complementary events is introduced, with the relationship between an event and its complement explained using set notation.