Chapter 5 Formulas and Vocabulary

• Classical method of assigning probabilities (p. 244).

• Event (p. 241)
• Experiment (p. 241)
• Law of Large Numbers (p. 249)
• Law of Total Probability (p. 241)
• Outcome (p. 241)
• Probability (p. 240)
• Probability model (p. 241)

• Relative frequency method of assigning probabilities (also known as the empirical method) (p. 249).

• Sample space (p. 241)
• Simulation (p. 248)
• Subjective probability (p. 252)
• Tree diagram (p. 245)

• Addition Rule (p. 262).

• Addition Rule for Mutually Exclusive Events (p. 264). If and are mutually exclusive, then .
• Complement of an event A (p. 259). Denoted as .
• Intersection of two events A and B (p. 261). Denoted as
• Mutually exclusive (disjoint) events (p. 263)

• Probabilities for complements (p. 260).

• Union of two events and (p. 261). Denoted as

• Conditional probability (p. 271).

• Independent events (p. 274). Events and are independent if .
• Multiplication Rule (p. 276). or, equivalently, .
• Multiplication Rule for Independent Events (p. 277). If events and are independent, then
• Multiplication Rule for n Independent Events (p. 280). If , , , ... are independent events, then .
• Sampling with replacement (p. 277)
• Sampling without replacement (p. 277)

• Acceptance sampling (p. 300)

• Combination (p. 296).

• Factorial symbol n! (p. 294).
• Multiplication Rule for Counting (p. 293)

• Permutation (p. 295).

• Permutations of nondistinct items (p. 299).