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Probability

Chapter 3. Probability. The Addition Rule. § 3.3. A and B. A. B. A. B. Mutually Exclusive Events. Two events, A and B , are mutually exclusive if they cannot occur at the same time. A and B are mutually exclusive. A and B are not mutually exclusive. A. B. 1. 2. 4.

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Probability

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  1. Chapter 3 Probability

  2. The Addition Rule § 3.3

  3. A and B A B A B Mutually Exclusive Events Two events, A and B, are mutually exclusive if they cannot occur at the same time. A and B are mutually exclusive. A and B are not mutually exclusive.

  4. A B 1 2 4 Mutually Exclusive Events Example: Decide if the two events are mutually exclusive. Event A: Roll a number less than 3 on a die. Event B: Roll a 4 on a die. These events cannot happen at the same time, so the events are mutually exclusive.

  5. A B 2 9 J 10 3 A 7 J J K 4 5 J 8 6 Q Mutually Exclusive Events Example: Decide if the two events are mutually exclusive. Event A: Select a Jack from a deck of cards. Event B: Select a heart from a deck of cards. Because the card can be a Jack and a heart at the same time, the events are not mutually exclusive.

  6. The Addition Rule The probability that event A or B will occur is given by P (A or B) = P (A) + P (B) – P (A and B ). If events A and B are mutually exclusive, then the rule can be simplified to P (A or B) = P (A) + P (B). Example: You roll a die. Find the probability that you roll a number less than 3 or a 4. The events are mutually exclusive. P (roll a number less than 3 or roll a 4) = P (number is less than 3) + P (4)

  7. The Addition Rule Example: A card is randomly selected from a deck of cards. Find the probability that the card is a Jack or the card is a heart. The events are not mutually exclusive because the Jack of hearts can occur in both events. P (select a Jack or select a heart) = P (Jack) + P (heart) – P (Jack of hearts)

  8. The Addition Rule Example: 100 college students were surveyed and asked how many hours a week they spent studying. The results are in the table below. Find the probability that a student spends between 5 and 10 hours or more than 10 hours studying. The events are mutually exclusive. P (5 to10) + P (10) P (5 to10 hours or more than 10 hours) =

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