DEFINITION  INDEPENDENT EVENTS:  Two events, A and B, are independent if the fact that A occurs does not affect the probability of B occurring.

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Presentation transcript:

DEFINITION  INDEPENDENT EVENTS:  Two events, A and B, are independent if the fact that A occurs does not affect the probability of B occurring

EXAMPLES: 1. Landing on heads after tossing a coin AND rolling a 5 on a single 6-sided die. 2. Choosing a marble from a jar AND landing on heads after tossing a coin. 3. Choosing a 3 from a deck of cards, replacing it, AND then choosing an ace as the second card. 4. Rolling a 4 on a single 6-sided die, AND then rolling a 1 on a second roll of the die.

CALCULATING INDEPENDENT EVENTS  To find the probability of two independent events that occur in sequence, find the probability of each event occurring separately, and then multiply the probabilities. This multiplication rule is on the next slide. Note that multiplication is represented by the word AND.

MULIPLICATION RULE  When two events, A and B, are independent, the probability of both occurring is:  P(A and B) = P(A) · P(B)

EXAMPLE  A dresser drawer contains one pair of socks of each of the following colors: blue, brown, red, white and black. Each pair is folded together in matching pairs. You reach into the sock drawer and choose a pair of socks without looking. The first pair you pull out is red -the wrong color. You replace this pair and choose another pair. What is the probability that you will choose the red pair of socks twice?  Calculation is on the next slide

CALCULATION P(red and red) = P(red) x P(red) = x = 1 25

EXAMPLE 2  A coin is tossed and a single 6-sided die is rolled. Find the probability of landing on the head side of the coin and rolling a 3 on the die. Calculation: P(Head and 3) = P(head) x P(3) = = x

EXAMPLE 3  A card is chosen at random from a deck of 52 cards. It is then replaced and a second card is chosen. What is the probability of choosing a jack and an eight? Calculation: P(jack and 8) = P(jack) x P(8) = = x = 1 169

EXAMPLE 4  A jar contains 3 red, 5 green, 2 blue and 6 yellow marbles. A marble is chosen at random from the jar. After replacing it, a second marble is chosen. What is the probability of choosing a green and a yellow marble? Calculation: P(Green and Yellow) = P(Green) x P(Yellow) = = x =

EXAMPLE 5  A school survey found that 9 out of 10 students like pizza. If three students are chosen at random with replacement, what is the probability that all three students like pizza? Calculation: P(Student #1 and #2 and #3 like pizza) = P(Student #1) x P(Student #2) x P(Student #3) = = xx 9 10

Class work  Complete Lesson 32  Check solutions to Lesson 32  Do:  Page 100 # 2 – 7  Page 101 # 16