SECTION 11-3 Conditional Probability; Events Involving “And” Slide 11-3-1.

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Presentation transcript:

SECTION 11-3 Conditional Probability; Events Involving “And” Slide

CONDITIONAL PROBABILITY; EVENTS INVOLVING “AND” Conditional Probability Events Involving “And” Slide

CONDITIONAL PROBABILITY Slide Sometimes the probability of an event must be computed using the knowledge that some other event has happened (or is happening, or will happen – the timing is not important). This type of probability is called conditional probability.

CONDITIONAL PROBABILITY Slide The probability of event B, computed on the assumption that event A has happened, is called the conditional probability of B, given A, and is denoted P(B | A).

EXAMPLE: SELECTING FROM A SET OF NUMBERS Slide From the sample space S = {2, 3, 4, 5, 6, 7, 8, 9}, a single number is to be selected randomly. Given the events A: selected number is odd, and B selected number is a multiple of 3. find each probability. a) P(B) b) P(A and B) c) P(B | A)

EXAMPLE: SELECTING FROM A SET OF NUMBERS Slide a) B = {3, 6, 9}, so P(B) = 3/8 b) P(A and B) = {3, 5, 7, 9} {3, 6, 9} = {3, 9}, so P(A and B) = 2/8 = 1/4 c) The given condition A reduces the sample space to {3, 5, 7, 9}, so P(B | A) = 2/4 = 1/2 Solution

CONDITIONAL PROBABILITY FORMULA Slide The conditional probability of B, given A, and is given by

EXAMPLE: PROBABILITY IN A FAMILY Slide Given a family with two children, find the probability that both are boys, given that at least one is a boy. Solution Define S = {gg, gb, bg, bb}, A = {gb, bg, bb}, and B = {bb}.

INDEPENDENT EVENTS Slide Two events A and B are called independent events if knowledge about the occurrence of one of them has no effect on the probability of the other one, that is, if P(B | A) = P(B), or equivalently P(A | B) = P(A).

EXAMPLE: CHECKING FOR INDEPENDENCE Slide A single card is to be drawn from a standard 52-card deck. Given the events A: the selected card is an ace B: the selected card is red a) Find P(B). b) Find P(B | A). c) Determine whether events A and B are independent.

EXAMPLE: CHECKING FOR INDEPENDENCE Slide Solution c. Because P(B | A) = P(B), events A and B are independent.

EVENTS INVOLVING “AND” Slide If we multiply both sides of the conditional probability formula by P(A), we obtain an expression for P(A and B). The calculation of P(A and B) is simpler when A and B are independent.

MULTIPLICATION RULE OF PROBABILITY Slide If A and B are any two events, then If A and B are independent, then

EXAMPLE: SELECTING FROM AN JAR OF BALLS Slide Jeff draws balls from the jar below. He draws two balls without replacement. Find the probability that he draws a red ball and then a blue ball, in that order. 4 red 3 blue 2 yellow

EXAMPLE: SELECTING FROM AN JAR OF BALLS Slide Solution

EXAMPLE: SELECTING FROM AN JAR OF BALLS Slide Jeff draws balls from the jar below. He draws two balls, this time with replacement. Find the probability that he gets a red and then a blue ball, in that order. 4 red 3 blue 2 yellow

EXAMPLE: SELECTING FROM AN JAR OF BALLS Slide Solution Because the ball is replaced, repetitions are allowed. In this case, event B 2 is independent of R 1.