CHAPTER 5 Probability: What Are the Chances?

Slides:



Advertisements
Similar presentations
Chapter 5: Probability: What are the Chances?
Advertisements

Conditional Probability and Independence. Learning Targets 1. I can calculate conditional probability using a 2-way table. 2. I can determine whether.
Chapter 5: Probability: What are the Chances?
Chapter 4: Basic Probability
CHAPTER 5 Probability: What Are the Chances?
Conditional Probability and Independence
Chapter 5: Probability: What are the Chances?
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 6: Probability: What are the Chances? Section 6.3 Conditional Probability.
5.3B Conditional Probability and Independence Multiplication Rule for Independent Events AP Statistics.
Probability Theory Pertemuan 4 Matakuliah: F Analisis Kuantitatif Tahun: 2009.
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 5: Probability: What are the Chances? Section 5.3 Conditional Probability.
5.3: Conditional Probability and Independence. After this section, you should be able to… DEFINE conditional probability COMPUTE conditional probabilities.
Chapter 4 Probability. Probability Defined A probability is a number between 0 and 1 that measures the chance or likelihood that some event or set of.
©The McGraw-Hill Companies, Inc. 2008McGraw-Hill/Irwin A Survey of Probability Concepts Chapter 5.
Section 5.3 Conditional Probability and Independence
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 5 Probability: What Are the Chances? 5.3.
AP STATISTICS LESSON 6.3 (DAY 1) GENERAL PROBABILITY RULES.
Section 3.2 Notes Conditional Probability. Conditional probability is the probability of an event occurring, given that another event has already occurred.
Conditional Probability and Independence. Learning Targets 1. I can use the multiplication rule for independent events to compute probabilities. 2. I.
Chapter 5: Probability: What are the Chances?
Conditional Probability and Independence
+ Chapter 5 Probability: What Are the Chances? 5.1Randomness, Probability, and Simulation 5.2Probability Rules 5.3Conditional Probability and Independence.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 5 Probability: What Are the Chances? 5.3.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 5 Probability: What Are the Chances? 5.3.
SOME SUPER COIN TOSSERS. CHAP 6.2 B PROBABILITY MODELS.
Conditional Probability and the Multiplication Rule NOTES Coach Bridges.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
STATISTICS 6.0 Conditional Probabilities “Conditional Probabilities”
Chapter 5: Probability: What are the Chances?
+ The Practice of Statistics, 4 th edition – For AP* STARNES, YATES, MOORE Chapter 5: Probability: What are the Chances? Section 5.3 Conditional Probability.
+ Chapter 5 Probability: What Are the Chances? 5.1Randomness, Probability, and Simulation 5.2Probability Rules 5.3Conditional Probability and Independence.
Section 5.3 Conditional Probability and Independence Learning Objectives After this section, you should be able to… DEFINE conditional probability COMPUTE.
The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers CHAPTER 5 Probability: What Are the Chances? 5.3.
CHAPTER 5 Probability: What Are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Warm-up How many digits do you need to simulate heads or tails (or even or odd)? 2) To simulate an integer % probability of passing or failing?
Conditional Probability and Independence
A Survey of Probability Concepts
Aim – How can we assess how one event’s outcome affects the outcome of another event? H.W. – pg 333 – 334 #63 – 68 Do Now – Suppose you pick two cards,
Chapter 3 Probability.
Chapter 4 Probability.
Chapter 5: Probability: What are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Chapter 5: Probability: What are the Chances?
Chapter 6: Probability: What are the Chances?
A Survey of Probability Concepts
Chapter 5: Probability: What are the Chances?
Chapter 5: Probability: What are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Chapter 5: Probability: What are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Chapter 6: Probability: What are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Chapter 5: Probability: What are the Chances?
Check Yourself Warmup Find the probability a driver has a sports car
Chapter 5: Probability: What are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Chapter 5: Probability: What are the Chances?
Chapter 5: Probability: What are the Chances?
CHAPTER 5 Probability: What Are the Chances?
General Probability Rules
Chapter 5: Probability: What are the Chances?
Chapter 5: Probability: What are the Chances?
More About Probability
Chapter 5: Probability: What are the Chances?
CHAPTER 5 Probability: What Are the Chances?
CHAPTER 5 Probability: What Are the Chances?
Chapter 5 – Probability Rules
Basic Probability Chapter Goal:
Chapter 5: Probability: What are the Chances?
Presentation transcript:

CHAPTER 5 Probability: What Are the Chances? 5.3 Conditional Probability and Independence

Conditional Probability and Independence CALCULATE and INTERPRET conditional probabilities. USE the general multiplication rule to CALCULATE probabilities. USE tree diagrams to MODEL a chance process and CALCULATE probabilities involving two or more events. DETERMINE if two events are independent. When appropriate, USE the multiplication rule for independent events to COMPUTE probabilities.

Conditional Probability and Independence When knowledge that one event has happened does not change the likelihood that another event will happen, we say that the two events are independent. Two events A and B are independent if the occurrence of one event does not change the probability that the other event will happen. In other words, events A and B are independent if P(A | B) = P(A) and P(B | A) = P(B). When events A and B are independent, we can simplify the general multiplication rule since P(B| A) = P(B). Multiplication rule for independent events If A and B are independent events, then the probability that A and B both occur is P(A ∩ B) = P(A) • P(B)

Multiplication Rule for Independent Events Following the Space Shuttle Challenger disaster, it was determined that the failure of O-ring joints in the shuttle’s booster rockets was to blame. Under cold conditions, it was estimated that the probability that an individual O-ring joint would function properly was 0.977. Assuming O-ring joints succeed or fail independently, what is the probability all six would function properly? P( joint 1 OK and joint 2 OK and joint 3 OK and joint 4 OK and joint 5 OK and joint 6 OK) By the multiplication rule for independent events, this probability is: P(joint 1 OK) · P(joint 2 OK) · P (joint 3 OK) • … · P (joint 6 OK) = (0.977)(0.977)(0.977)(0.977)(0.977)(0.977) = 0.87 There’s an 87% chance that the shuttle would launch safely under similar conditions (and a 13% chance that it wouldn’t).

Conditional Probabilities and Independence CALCULATE and INTERPRET conditional probabilities. USE the general multiplication rule to CALCULATE probabilities. USE tree diagrams to MODEL a chance process and CALCULATE probabilities involving two or more events. DETERMINE if two events are independent. When appropriate, USE the multiplication rule for independent events to COMPUTE probabilities.