Chapter 4 Review MDM 4U Gary Greer.

Slides:



Advertisements
Similar presentations
Chapter 2 Probability. 2.1 Sample Spaces and Events.
Advertisements

Unit 7 Review Probability.
Questions, comments, concerns? Ok to move on? Vocab  Trial- number of times an experiment is repeated  Outcomes- different results possible  Frequency-
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.
1 Chapter 6: Probability— The Study of Randomness 6.1The Idea of Probability 6.2Probability Models 6.3General Probability Rules.
Chapter 2: The Next Step… Conditional Probability.
Laws of Probability What is the probability of throwing a pair of dice and obtaining a 5 or a 7? These are mutually exclusive events. You can’t throw.
COUNTING OUTCOMES PERMUTATIONS & COMBINATIONS PROBABILITY REVIEW.
Warm up Two cards are drawn from a deck of 52. Determine whether the events are independent or dependent. Find the indicated probability. A. selecting.
D4/2 Use the following Venn diagram to answer the question: If the 2 ovals in the Venn diagram above represent events A and B, respectively, what is ?
Copyright (c) 2004 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 2 Probability.
Warm up The probability of event A is given by P(A) = n(A) = 8 = 2 n(S) What could event A be? What is the Sample Space, S?
Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113.
Elementary Probability Theory
5.1 Basic Probability Ideas
AP Statistics Notes Chapter 14 and 15.
Probability of Independent and Dependent Events
Warm up A ferris wheel holds 12 riders. If there are 20 people waiting to ride it, how many ways can they ride it?
Finding Probability Using Tree Diagrams and Outcome Tables
Warm up The Leafs have won 45% of their games this season. When Phil Kessel scores, the Leafs win 30% of the time. What is the probability that Phil Kessel.
AP STATISTICS Section 6.2 Probability Models. Objective: To be able to understand and apply the rules for probability. Random: refers to the type of order.
AP Statistics Chapter 6 Notes. Probability Terms Random: Individual outcomes are uncertain, but there is a predictable distribution of outcomes in the.
Warm-Up 1. What is Benford’s Law?
10-5, 10-6, 10-7 Probability EQ: How is the probability of multiple events calculated?
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.
3.1Set Notation Venn Diagrams Venn Diagram is used to illustrate the idea of sets and subsets. Example 1 X  U(b) A  B X U B A U.
Chapter 1:Independent and Dependent Events
Two Way Tables Venn Diagrams Probability. Learning Targets 1. I can use a Venn diagram to model a chance process involving two events. 2. I can use the.
EXIT NEXT Click one of the buttons below or press the enter key BACKTOPICS Probability The MEnTe Program Math Enrichment through Technology Title V East.
Lesson 6 – 2b Probability Models Part II. Knowledge Objectives Explain what is meant by random phenomenon. Explain what it means to say that the idea.
7th Probability You can do this! .
Algebra II 10.4: Find Probabilities of Disjoint and Overlapping Events HW: HW: p.710 (8 – 38 even) Chapter 10 Test: Thursday.
Statistics & Econometrics Statistics & Econometrics Statistics & Econometrics Statistics & Econometrics Statistics & Econometrics Statistics & Econometrics.
DEFINITION  INDEPENDENT EVENTS:  Two events, A and B, are independent if the fact that A occurs does not affect the probability of B occurring.
Review Homework pages Example: Counting the number of heads in 10 coin tosses. 2.2/
Probability Basic Concepts Start with the Monty Hall puzzle
© 2010 Pearson Education, Inc. All rights reserved Chapter 9 9 Probability.
Probability What are the chances?.
Conditional Probability. Suppose you roll two dice Does the result of one of the dice affect what the result of the second one will be? No These are independent.
Finding Probability Using Tree Diagrams and Outcome Tables
Draw 3 cards without replacement from a standard 52 card deck. What is the probability that: 1.They are all red ? 2.At least one is black ? 3.They are.
Not a Venn diagram?.
Chapter 10 – Data Analysis and Probability 10.8 – Probability of Independent and Dependent Events.
5-Minute Check on Section 6-2a Click the mouse button or press the Space Bar to display the answers. 1.If you have a choice from 6 shirts, 5 pants, 10.
Chapter 4 Review MDM 4U Mr. Lieff.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 5: Probability: What are the Chances? Section 5.2 Probability Rules.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 5 Probability: What Are the Chances? 5.2.
Unit 1 Review ( ) MDM 4U Mr. Lieff. Test Format 20 MC (4 per section) 15 Marks K/U 20 Marks APP (choice 3 of 5) 10 Marks TIPS (choice 2 of 3) 15%
Unit 4 Probability Day 3: Independent and Dependent events.
Warm up A Ferris wheel holds 12 riders. If there are 20 people waiting in line, how many different ways can 12 people ride it? You may write your answer.
11.3 Probability of Multiple Events Learning goal find the probability of the event A and B find the probability of the event A or B.
Operations on Sets Union of Sets Intersection of Sets
Not a Venn diagram?. Warm up When rolling a die with sides numbered from 1 to 20, if event A is the event that a number divisible by 5 is rolled: i) What.
Probability. Definitions Probability: The chance of an event occurring. Probability Experiments: A process that leads to well- defined results called.
11.3 and 11.4: Probability Rules. Key Vocabulary  Independent events: The outcome of one event does not affect the outcome of another  Dependent events:
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
Warm Up One card is selected at random from a standard deck of 52 playing cards. What is the probability that the card is either a club or an ace?  
Chapter 4 Probability Concepts
PROBABILITY Review.
Unit 1 Review MDM 4U Chapters 4.1 – 4.5.
PROBABILITY What are the chances?.
Minds on! If you choose an answer to this question at random, what is the probability you will be correct? A) 25% B) 50% C) 100% D) 25%
4.5 – Finding Probability Using Tree Diagrams and Outcome Tables
Applicable Mathematics “Probability”
Section 6.2 Probability Models
Warm Up There are 5 blue, 4 red, 1 yellow and 2 green beads in a bag. Find the probability that a bead chosen at random from the bag is: 1. blue 2.
Section 3.3: The Addition Rule
PROBABILITY RANDOM EXPERIMENTS PROBABILITY OF OUTCOMES EVENTS
Probability of Independent Event
Applied Statistical and Optimization Models
Presentation transcript:

Chapter 4 Review MDM 4U Gary Greer

4.1 Intro to Simulations and Theoretical Probability be able to design a simulation to investigate the experimental probability of some event ex: design a simulation to determine the experimental probability of more than one of 5 keyboards chosen in a class will be defective if we know that 25% are defective get a shuffled deck of cards, choosing clubs to represent the defective keyboards choose 5 cards and see how many are clubs repeat a number of times and calculate probability

4.2 Theoretical Probability work effectively with Venn diagrams ex: create a Venn diagram illustrating the sets of face cards and red cards S = 52 red & face = 6 red = 20 face = 6

4.2 Theoretical Probability calculate the probability of an event or its complement ex: what is the probability of randomly choosing a male from a class of 30 students if 10 are female? P(A) = n(A)/n(S) = 20/30 = 0.666 66.6%

4.2 Theoretical Probability ex: calculate the probability of not throwing a four with 3 dice there are 63 possible outcomes with three dice only 3 outcomes produce a 4 probability of a 4 is: 3/63 probability of not 4 is: 1- 3/63

4.3 Finding Probability Using Sets recognize the different types of sets utilize the additive principle for unions of sets The Additive Principle for the Union of Two Sets: n(A U B) = n(A) + n(B) – n(A ∩ B) P(A U B) = P(A) + P(B) – P(A ∩ B) calculate probabilities using the additive principle

4.3 Finding Probability Using Sets ex: what is the probability of drawing a red card or a face card ans: P(A U B) = P(A) + P(B) – P(A ∩ B) P(red or face) = P(red) + P(face) – P(red and face) = 26/52 + 12/52 – 6/52 = 32/52 = 0.615

4.4 Conditional Probability calculate a probability of events A and B occurring, given that A has occurred use the multiplicative law for conditional probability ex: what is the probability of drawing a jack and a queen in sequence, given no replacement? 4/52 x 4/51

4.4 Conditional Probability 100 Students surveyed Course Taken No. of students English 80 Mathematics 33 French 68 English and Mathematics 30 French and Mathematics 6 English and French 50 All three courses 5 a) Draw a Venn Diagram that represents this situation. b) What is the probability that a student takes Mathematics given that he or she also takes English?

4.4 Conditional Probability E 17 45 1 5 2 5 25

4.4 Conditional Probability To answer the question in (b), we need to find P(Math|English). We know... P(Math|English) = P(Math ∩ English) P(English) Therefore… P(Math|English) = 30 / 100 = 30 x 100 = 3 80 / 100 100 80 8

4.5 Tree Diagrams and Outcome Tables a sock drawer has a red, a green and a blue sock you pull out one sock, replace it and pull another out draw a tree diagram representing the possible outcomes what is the probability of drawing 2 red socks? these are independent events R B G

4.5 Tree Diagrams and Outcome Tables Mr. Greer is going fishing he finds that he catches fish 70% of the time when the wind is out of the east he also finds that he catches fish 50% of the time when the wind is out of the west if there is a 60% chance of a west wind today, what are his chances of having fish for dinner? we will start by creating a tree diagram

4.5 Tree Diagrams and Outcome Tables 0.5 fish dinner P=0.3 west 0.6 0.5 bean dinner P=0.3 fish dinner 0.7 P=0.28 0.4 east 0.3 bean dinner P=0.12

4.5 Tree Diagrams and Outcome Tables P(east, catch) = P(east) x P(catch | east) = 0.4 x 0.7 = 0.28 P(west, catch) = P(west) x P(catch | west) = 0.6 x 0.5 = 0.30 Probability of a fish dinner: 0.28 + 0.3 = 0.58 So Mr. Greer has a 58% chance of catching a fish for dinner

4.6 Permutations find the number of outcomes given a situation where order matters calculate the probability of an outcome or outcomes in situations where order matters recognizing how to restrict the calculations when some elements are the same

4.6 Permutations ex: in a class of 10 people, a teacher must choose 3 for an experiment (students are done in a particular order) how many ways are there to do this? ans: P(10,3) = 10!/(10 – 3)! = 720? ex: how many ways can 5 students be arranged in a line? ans: 5! ex: how many ways are there above if Jake must be first? ans: (5-1)! = 4!

4.6 Permutations ex: what is the chance of opening one of the school combination locks by chance? ans: 60 x 60 x 60

4.7 Combinations find the number of outcomes given a situation where order does not matter calculate the probability of an outcome or outcomes in situations where order does not matter ex: how many ways are there to choose a 3 person committee from a class of 20? ans: C(20,3) = 20!/((20-3)!3!)

4.7 Combinations ex: from a group of 5 men and 4 women, how many committees of 5 can be formed with a. exactly 3 women b. at least 3 women ans a: ans b: