Chapter 12 Probability

Chapter 12 The probability of an occurrence is written as P(A) and is equal to

Chapter 12 Theorem 1: Probability Is Expressed as a Number Between 0 and 1:

Chapter 12 Theorem 2: The Sum of the Probabilities of the Events in a Situation Is Equal to 1.00:

Chapter 12 Theorem 3: If P(A) Is the Probability That an Event A Will Occur, Then the Probability That A Will Not Occur Is:

Chapter 12 Theorem 4: For Mutually Exclusive Events, the Probability That Either Event A or Event B Will Occur Is the Sum of Their Respective Probabilities:

Chapter 12 Theorem 5: When Events A and B Are Not Mutually Exclusive Events, the Probability That Either Event A or Event B or Both Will Occur Is

Chapter 12 Theorem 6: If A and B Are Dependent Events, the Probability That Both A and B Will Occur Is

Chapter 12 Theorem 7: If A and B Are Independent Events, Then the Probability That Both A and B Will Occur Is

Chapter 12 A permutation is the number of arrangements that n objects can have when r of them are used:

Chapter 12 When the order in which the items are used is not important, the number of possibilities can be calculated by using the formula for a combination.

Chapter 12 Hypergeometric Probability Distribution

Chapter 12 Binomial Probability Distribution

Chapter 12 Poisson Probability Distribution

Chapter 12 Normal Distribution