Probability of Independent and Dependent Events CCM2 Unit 6: Probability

Independent and Dependent Events Independent Events: when one event has no affect on the probability of the other event occurring. Dependent Events: if the outcome or probability of the first event affects the outcome of the second.

Independent Events Suppose a die is rolled and then a coin is tossed. Explain why these events are independent. They are independent because the outcome of rolling a die does not affect the outcome of tossing a coin, and vice versa. Fill in the table to represent the sample space – how many total outcomes are there? Roll 1 Roll 2 Roll 3 Roll 4 Roll 5 Roll 6 Head Tail

Roll 1 Roll 2 Roll 3 Roll 4 Roll 5 Roll 6 Head 1,H 2,H 3,H 4,H 5,H 6,H Tail 1,T 2,T 3,T 4,T 5,T 6,T How can you find the total outcomes of the sample space WITHOUT writing it out? Remember the Fundamental Counting Principle. Still stumped? Here is the process: How many outcomes are there for rolling the die? 6 outcomes How many outcomes are there for tossing the coin? 2 outcomes How many outcomes are there in the sample space of rolling the die and tossing the coin? 6 • 2 = 12 outcomes

Roll 1 Roll 2 Roll 3 Roll 4 Roll 5 Roll 6 Head 1,H 2,H 3,H 4,H 5,H 6,H Tail 1,T 2,T 3,T 4,T 5,T 6,T Use the table to find the following probabilities: 1. P(rolling a 3) 2/12 = 1/6 2. P(Tails) 6/12 = ½ 3. P(rolling a 3 AND getting tails) 1/12 4. P(rolling an even) 6/12 = ½ 5. P(heads) 6. P(rolling an even AND getting heads) 3/12 or 1/4 We can find the answer to 3 by multiplying the probabilities from 1 and 2. We can find the answer to 6 by multiplying the probabilities from 4 and 5. What do you notice about #1 and #2 to get #3? Do you see the pattern again with #4 and #5 to get #6?

Multiplication Rule of Probability for Independent Events The probability of two independent events occurring can be found by the following formula: P(A and B) = P(A) x P(B)

Let’s go back to the table How can we find the probabilities for this table? Just the way you found the total number of possibilities – by multiplying! Roll 1 P(1) = Roll 2 P(2) = Roll 3 P(3) = Roll 4 P(4) = Roll 5 P(5)= Roll 6 P(6)= Head P(H) = 1,H P(1 and H) = 2,H P(2 and H) = 3,H P(3 and H) = 4,H P(4 and H) = 5,H P(5 and H) = 6,H P(6 and H) = Tail P(T) = 1,T P(1 and T) = 2,T P(2 and T) = 3,T P(3 and T) = 4,T P(4 and T) = 5,T P(5 and T) = 6,T P(6 and T) = 1/6 1/6 1/6 1/6 1/6 1/6 1/2 (1/6)(1/2) = 1/12 1/12 1/12 1/12 1/12 1/12 1/2 1/12 1/12 1/12 1/12 1/12 1/12

Example 1 At City High School, 30% of students have part-time jobs and 25% of students are on the honor roll. What is the probability that a student chosen at random has a part-time job and is on the honor roll? Write your answer in context. P(PT job and honor roll) = P(PT job) x P(honor roll) = .30 x .25 = .075 There is a 7.5% probability that a student chosen at random will have a part-time job and be on the honor roll.

Dependent Events Remember, we said earlier that Dependent Events: two events are dependent if the outcome or probability of the first event affects the outcome or probability of the second. Let’s look at some scenarios and determine whether the events are independent or dependent.

Example 2: Determine whether the events are independent or dependent: a.) Selecting a marble from a container and selecting a jack from a deck of cards. Independent b.) Rolling a number less than 4 on a die and rolling a number that is even on a second die. c.) Choosing a jack from a deck of cards and choosing another jack, without replacement. Dependent d.) Winning a hockey game and scoring a goal.

Multiplication Rule of Probability for Dependent Events The probability of two dependent events occurring can be found by the following formula: P(A and B) = P(A) x P(B following A)

Example 3: Let’s look at a different of Independent vs Example 3: Let’s look at a different of Independent vs. Dependent Example INDEPENDENT A box contains 4 red marbles and 6 purple marbles. You are going to choose 3 marbles with replacement . a.) Draw a tree diagram and write the probabilities on each branch. b.) What is the probability of drawing 2 purple marbles and 1 red marble in succession (aka in order)? P(1st draw purple) • P(2nd draw purple) • P(3rd draw red) 6/10 • 6/10 • 4/10 = 18/125 or .144 or 14.4% Purple 6/10 Red Purple 4/10 6/10 Purple Purple 6/10 4/10 6/10 Red Red 4/10 4/10 6/10 6/10 Purple Red Purple 4/10 Red 4/10 6/10 Purple Red 4/10 Red

DEPENDENT A box contains 4 red marbles and 6 purple marbles. You are going to choose 3 marbles without replacement . a.) Draw a tree diagram and write the probabilities on each branch. b.) What is the probability of drawing 2 purple marbles and 1 red marble in succession (aka in order)? P(1st draw purple) • P(2nd draw purple) • P(3rd draw red) 6/10 • 5/9 • 4/8 = 1/6 or .167 or 16.7% Purple 4/8 Red Purple 4/8 5/9 Purple Purple 5/8 4/9 6/10 Red Red 3/8 4/10 6/9 5/8 Purple Red Purple 3/8 Red 3/9 6/8 Purple Red 2/8 Red

In the above example, what is the probability of first drawing all 4 red marbles in succession and then drawing all 6 purple marbles in succession without replacement? P(4 red then 6 purple) = (4/10)(3/9)(2/8)(1/7)(6/6)(5/5)(4/4)(3/3)(2/2)(1/1) = 1/210 or .0048 The probability of drawing 4 red then 6 purple without replacement is 0.48% Explain why the last 6 probabilities above were all equivalent to 1. This is because there were only purple marbles left, so the probability for drawing a purple marble was 1.

Example 4: How does permutations and combinations work into this type of probability??? a.) There are 32 students in the classroom and the teacher needs to be make a seating chart. What is the probability that Deshawn will be in the first seat, Sophie in the second seat, and Delaney in the third seat? P(Deshawn 1st) • P(Sophie 2nd) • P(Delaney 3rd ) 1/32 • 1/31 • 1/30 = 3.36 x 10-5 = .0000336 = .00336% OR Since the order matters, we call this a permutation choosing 3 out of 32: 32P3 and we’re looking for a specific one order, so: 1_ = 1 = .00336% 32P3 32•31•30 You get the same answer! Another example to give students: https://www.youtube.com/watch?v=WRuI83dTsJs

Example 4: How does permutations and combinations work into this type of probability??? b.) There are 32 students in the classroom and the teacher can only choose 2 students to go to the media center. What is the probability that Arturo and Jon will be chosen? P(Arturo or Jon) • P(the other one) 2/32 • 1/31 = .002 = .20% OR Since the order does NOT matter, we call this a combination choosing 2 out of 32: 32C2 and we’re looking for a specific one group of people, so: 1_ = 1 = .20% 32C2 32 •31 2•1 You get the same answer! Another example to give students: https://www.youtube.com/watch?v=WRuI83dTsJs