7/20 The following table shows the number of people that like a particular fast food restaurant. 1)What is the probability that a person likes Wendy’s?

Slides:



Advertisements
Similar presentations
7/20 The following table shows the number of people that like a particular fast food restaurant. 1)What is the probability that a person likes Wendys?
Advertisements

AP Statistics Section 6.2C Independent Events & The Multiplication Rule.
Randomness and Probability
Bell Work 35/100=7/20 15/100 = 3/20 65/100 = 13/20 Male
Bell Work Today’s problems are exploratory. I want to see how you react to them. Think about these problems and the situations. We’ll see if you change.
7/20 The following table shows the number of people that like a particular fast food restaurant. 1)What is the probability that a person likes Wendy’s?
8.7 Probability. Ex 1 Find the sample space for each of the following. One coin is tossed. Two coins are tossed. Three coins are tossed.
1.When rolling two dice, what is probability that your sum will be 4 or 5? 2.When rolling two dice, what is the probability that your sum will be an even.
Compound Events Compound event - an event that is a combination of two or more stages P(A and B) - P(A) X P(B)
GOAL: FIND PROBABILITY OF A COMPOUND EVENT. ELIGIBLE CONTENT: A PROBABILITY OF COMPOUND EVENTS.
Probability.
Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113.
35/100=7/ people were surveyed for their favorite fast-food restaurant. Write your answers as fractions in simplest form. 1. What is the probability.
Independent and Dependent Events
7/ people were surveyed for their favorite fast-food restaurant. 1. What is the probability that a person likes Wendy’s? 2. What is the probability.
Chapter 1:Independent and Dependent Events
The following table shows the number of people that like a particular fast food restaurant. 1)Is the probability of liking McDonald’s dependent on the.
Topic 4A: Independent and Dependent Events Using the Product Rule
Warm Up Find the theoretical probability of each outcome 1. rolling a 6 on a number cube. 2. rolling an odd number on a number cube. 3. flipping two coins.
1.Mr. Amica walks into ISS and takes 3 students out of the 15 in there to help him in the cafeteria. How many possibilities are there for picking the 3.
1.4 Equally Likely Outcomes. The outcomes of a sample space are called equally likely if all of them have the same chance of occurrence. It is very difficult.
7th Probability You can do this! .
Probability – the likelihood that an event will occur. Probability is usually expressed as a real number from 0 to 1. The probability of an impossible.
The Addition Rule TUTORIAL Summary To find the probability of event A or B, we must first determine whether the events are mutually exclusive.
1 Examples of Independent Events Some examples of independent events are:  Landing on heads after tossing a coin AND rolling a 5 on a single 6- sided.
7.4 Probability of Independent Events 4/17/ What is the number of unique 4-digit ATM PIN codes if the first number cannot be 0? The numbers to.
DEFINITION  INDEPENDENT EVENTS:  Two events, A and B, are independent if the fact that A occurs does not affect the probability of B occurring.
Warm Up a) 28 b) ½ c) Varies Packet signatures???.
Math I.  Probability is the chance that something will happen.  Probability is most often expressed as a fraction, a decimal, a percent, or can also.
Math I.  Probability is the chance that something will happen.  Probability is most often expressed as a fraction, a decimal, a percent, or can also.
Representing Data for Finding Probabilities There are 35 students 20 take math 25 take science 15 take both Venn Diagram Contingency table M^M.
Probability What’s the chance of that happening? MM1D2 a, b, c.
Probability.
Warm up The following table shows the number of people that like a particular fast food restaurant. McD’s BK Wendy’s Male Female What is.
Conditional Probability and the Multiplication Rule NOTES Coach Bridges.
Probability of Compound Events compound event combines two or more events, using the word and or the word or. The word “or” in probability means Union.
P4. Probability Essential Question: How is an independent event defined?
Probability. Probability of an Event A measure of the likelihood that an event will occur. Example: What is the probability of selecting a heart from.
Independent and Dependent Events Lesson 6.6. Getting Started… You roll one die and then flip one coin. What is the probability of : P(3, tails) = 2. P(less.
7/20 The following table shows the number of people that like a particular fast food restaurant. 1)What is the probability that a person likes Wendy’s?
16.2 Probability of Events Occurring Together
7/20 The following table shows the number of people that like a particular fast food restaurant. 1)What is the probability that a person likes Wendy’s?
2-7 Probability of Compound Events. Independent Events – events that do not effect each other To calculate the probability of 2 independent events: Find.
Probability Probability Day 4. Independent Practice Topic 3 packet pg
Warm-Up #9 (Tuesday, 2/23/2016) 1.(Use the table on the left) How many students are in the class? What fraction of the students chose a red card? ResultFrequency.
Probability of Independent and Dependent Events
Warm up The following table shows the number of people that like a particular fast food restaurant. McD’s BK Wendy’s Male Female What is.
Independent and Dependent Events
Warm-up 7/20 3/5 3/4 Male Female 25 McDonald’s Burger King
Section 7.2 Students will explore more with probability. Students will do conditional probability, independent probability and using two way tables to.
Compound Probability.
Probability of Independent and Dependent Events
The probability of event P happening is 0. 34
Probability of Independent and Dependent Events
Probability of Independent and Dependent Events
Warm up #3 3/24 – even 3/27 - odd 7/20 3/5 3/20 3/4
Warm up The following table shows the number of people that like a particular fast food restaurant. McD’s BK Wendy’s Male Female What is.
Compound Probability.
Warm up The following table shows the number of people that like a particular fast food restaurant. McD’s BK Wendy’s Male Female What is.
Warm up 7/20 45/100 = 9/20 15 / 100 = 3/20 Male Female 25
Independent and Dependent Events
Independent vs. Dependent events
Probability Simple and Compound.
Probability.
Warm up The following table shows the number of people that like a particular fast food restaurant. McD’s BK Wendy’s Male Female What is.
Probability of Dependent and Independent Events
Probability of Independent and Dependent Events
Warm up The following table shows the number of people that like a particular fast food restaurant. McD’s BK Wendy’s Male Female What is.
Probability of Independent Event
Compound Events – Independent and Dependent
Presentation transcript:

7/20 The following table shows the number of people that like a particular fast food restaurant. 1)What is the probability that a person likes Wendy’s? 2)What is the probability that a person is male given they like Burger King? 3. What is the probability that a randomly chosen person is female or likes McDonald’s? 3/5 McDonald’sBurger KingWendy’s Male Female /4

EOCT Review

CCGPS Geometry UNIT QUESTION: What connection does conditional probability have to independence? Standard: MCC9-12.S.CP.1-7 Today’s Question: How can I determine if 2 events are independent of each other? Standard: MCC9-12.S.CP.1, 7

Probability Independent vs. Dependent events

Independent Events Two events A and B, are independent if the fact that A occurs does not affect the probability of B occurring. Examples- Landing on heads from two different coins, rolling a 4 on a die, then rolling a 3 on a second roll of the die. Probability of A and B occurring: P(A and B) = P(A)  P(B)

Experiment 1 A coin is tossed and a 6-sided die is rolled. Find the probability of landing on the head side of the coin and rolling a 3 on the die. P (head)=1/2 P (head)=1/2 P(3)=1/6 P(3)=1/6 P (head and 3)=P (head)  P(3) P (head and 3)=P (head)  P(3) =1/2  1/6 =1/2  1/6 = 1/12 = 1/12

Experiment 2 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? P (jack)= 4/52 P (jack)= 4/52 P (8)= 4/52 P (8)= 4/52 P (jack and 8)= 4/52  4/52 P (jack and 8)= 4/52  4/52 = 1/169 = 1/169

Experiment 3 A jar contains three red, five green, two blue and six 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? P (green) = 5/16 P (green) = 5/16 P (yellow) = 6/16 P (yellow) = 6/16 P (green and yellow) = P (green)  P (yellow) P (green and yellow) = P (green)  P (yellow) = 15 / 128 = 15 / 128

Experiment 4 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? P (student 1 likes pizza) = 9/10 P (student 1 likes pizza) = 9/10 P (student 2 likes pizza) = 9/10 P (student 2 likes pizza) = 9/10 P (student 3 likes pizza) = 9/10 P (student 3 likes pizza) = 9/10 P (student 1 and student 2 and student 3 like pizza) = 9/10  9/10  9/10 = 729/1000 P (student 1 and student 2 and student 3 like pizza) = 9/10  9/10  9/10 = 729/1000

Dependent Events Two events A and B, are dependent if the fact that A occurs affects the probability of B occurring. Examples- Picking a blue marble and then picking another blue marble if I don’t replace the first one. Probability of A and B occurring: P(A and B) = P(A)  P(B|A)

Experiment 1 A jar contains three red, five green, two blue and six yellow marbles. A marble is chosen at random from the jar. A second marble is chosen without replacing the first one. What is the probability of choosing a green and a yellow marble? P (green) = 5/16 P (yellow given green) = 6/15 P (green and then yellow) = P (green)  P (yellow) = 1/8 = 1/8

Experiment 2 An aquarium contains 6 male goldfish and 4 female goldfish. You randomly select a fish from the tank, do not replace it, and then randomly select a second fish. What is the probability that both fish are male? P (male) = 6/10 P (male) = 6/10 P (male given 1 st male) = 5/9 P (male given 1 st male) = 5/9 P (male and then, male) = 1/3 P (male and then, male) = 1/3

Experiment 3 A random sample of parts coming off a machine is done by an inspector. He found that 5 out of 100 parts are bad on average. If he were to do a new sample, what is the probability that he picks a bad part and then, picks another bad part if he doesn’t replace the first? P (bad) = 5/100 P (bad) = 5/100 P (bad given 1 st bad) = 4/99 P (bad given 1 st bad) = 4/99 P (bad and then, bad) = 1/495 P (bad and then, bad) = 1/495

Example There are 120 M&M’s in a jar. 25 are blue, 24 are red, 30 are green, 26 are yellow, and 15 are brown. What is the probability of choosing one red, one green and one yellow M&M if choosing three and replacing after each choice??? How does the probability change if there is no replacement? What if we’re trying to choose three green? How does replacement affect that probability?

Independent vs. Dependent Determining if 2 events are independent

Independent Events Two events are independent if the following are true: P(A|B) = P(A) P(B|A) = P(B) P(A AND B) = P(A) ⋅ P(B) To show 2 events are independent, you must prove one of the above conditions.

Experiment 1 Let event G = taking a math class. Let event H = taking a science class. Then, G AND H = taking a math class and a science class. Suppose P(G)=0.6, P(H)=0.5, and P(G AND H)=0.3. Are G and H independent?

Experiment 2 In a particular college class, 60% of the students are female. 50% of all students in the class have long hair. 45% of the students are female and have long hair. Of the female students, 75% have long hair. Let F be the event that the student is female. Let L be the event that the student has long hair. One student is picked randomly. Are the events of being female and having long hair independent?

Approach #2 If they are independent, P(L|F) should equal P(L) ≠ 0.5

Homework Practice Worksheet