Chapter 5: Probability Section 5.1: Probability Rules.

Slides:



Advertisements
Similar presentations
AP Statistics Section 6.2C Independent Events & The Multiplication Rule.
Advertisements

Probability Unit 3.
Copyright © 2006 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Section 5.1 and 5.2 Probability
Mathematics in Today's World
AP Biology Laws of Probability Probability & Genetics.
Unit 4 Sections 4-1 & & 4-2: Sample Spaces and Probability  Probability – the chance of an event occurring.  Probability event – a chance process.
5.1 Introducing Probability Objectives: By the end of this section, I will be able to… 1) Understand the meaning of an experiment, an outcome, an event,
Describing Probability
Probability Sample Space Diagrams.
Probability & Counting Rules Chapter 4 Created by Laura Ralston Revised by Brent Griffin.
AP Statistics Section 6.2 A Probability Models
Probability and Sampling: Part I. What are the odds? What are the odds of finding a newspaper at the news stand? New York times Village Voice Jerusalem.
1 Chapter 6: Probability— The Study of Randomness 6.1The Idea of Probability 6.2Probability Models 6.3General Probability Rules.
Chapter 4 Using Probability and Probability Distributions
QBA 260 Chapter 1. Chapter 1 Topics Samples and Populations Samples and Populations Types of Data Types of Data Variables – Independent and Dependent.
CONDITIONAL PROBABILITY and INDEPENDENCE In many experiments we have partial information about the outcome, when we use this info the sample space becomes.
Bell Work: Factor x – 6x – Answer: (x – 8)(x + 2)
Section 6.2 ~ Basics of Probability Introduction to Probability and Statistics Ms. Young.
What are the chances of that happening?. What is probability? The mathematical expression of the chances that a particular event or outcome will happen.
Chapter 9 Introducing Probability - A bridge from Descriptive Statistics to Inferential Statistics.
Sample Spaces and Probability CHAPTER 4.1.  “Life is a school of probability” ~ Walter Bagehot  “The only two sure things are death and taxes” ~ cynical.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 5 Section 1 – Slide 1 of 33 Chapter 5 Section 1 Probability Rules.
3.1 & 3.2: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.
Randomness, Uncertainty, & Probability. Probability The formal study of the laws of chance Examples of probability statements are everywhere: – There.
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.
Unit 3 Review. Sec 5.1: Designing Samples Define the terms population and sample. Define each type of sample: Probability Sample, Simple Random Sample.
Dependent and Independent Events. Events are said to be independent if the occurrence of one event has no effect on the occurrence of another. For example,
LECTURE 15 THURSDAY, 15 OCTOBER STA 291 Fall
Homework 2) a) 54/268 b) 12/57 b) 12/57 c) 12/54 c) 12/54 3) 0.35/0.86 4) 0.08/0.37 5) 0.23/0.77 6) 0.24/0.42.
Basic Concepts of Probability Coach Bridges NOTES.
Independent vs Dependent Compound Probability and Tree Diagrams.
CALCULATE THE PROBABILITY OF AN EVENT. 1.ANSWER THIS QUESTION: IS THE EVENT POSSIBLE? STOP: DON’T CONTINUE. THE PROBABILITY OF THE EVENT IS O GO TO NUMBER.
EXAMPLE 1 Independent and Dependent Events Tell whether the events are independent or dependent. SOLUTION You randomly draw a number from a bag. Then you.
Slide 5-1 Chapter 5 Probability and Random Variables.
Produced by MEI on behalf of OCR © OCR 2013 Probability Trees © OCR 2014.
5.2: Probability Rules. Section 5.2 Probability Rules After this section, you should be able to… DESCRIBE chance behavior with a probability model DEFINE.
Probability Basics Section Starter Roll two dice and record the sum shown. Repeat until you have done 20 rolls. Write a list of all the possible.
AP STATISTICS Section 7.1 Random Variables. Objective: To be able to recognize discrete and continuous random variables and calculate probabilities using.
+ Chapter 5 Overview 5.1 Introducing Probability 5.2 Combining Events 5.3 Conditional Probability 5.4 Counting Methods 1.
Unit 4 Section 3.1.
Unit 4: Probability Day 2: Basic Probability. Standards and Benchmarks Select and apply counting procedures, such as the multiplication and addition.
16-3 The Binomial Probability Theorem. Let’s roll a die 3 times Look at the probability of getting a 6 or NOT getting a 6. Let’s make a tree diagram.
Probability and Simulation The Study of Randomness.
Section 3.1: Basic Concepts of Probability. Objective: To be able to understand and apply the basic rules of probability. A probability experiment is.
7 th Grade Math Vocabulary Word, Definition, Model Emery Unit 5.
Math 1320 Chapter 7: Probability 7.3 Probability and Probability Models.
Chapter 3 Probability. 3.1 Basic Concepts of Probability I.Probability Experiments Probability is the foundation of inferential statistics Probability.
Chapter 4 Probability and Counting Rules. Introduction “The only two sure things are death and taxes” A cynical person once said.
AP STATISTICS LESSON AP STATISTICS LESSON PROBABILITY MODELS.
AP Biology Probability & Genetics. AP Biology Genetics & Probability  Mendel’s laws:  segregation  independent assortment reflect.
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
Section 5.1 and 5.2 Probability
Introduction to Probability
Chapter 4 Probability Concepts
Chapter 6 6.1/6.2 Probability Probability is the branch of mathematics that describes the pattern of chance outcomes.
Copyright © 2016, 2013, and 2010, Pearson Education, Inc.
PROBABILITY AND PROBABILITY RULES
5.2 Probability
Statistics 1: Elementary Statistics
Probability & Genetics
Probability Trees By Anthony Stones.
Probability & Genetics
Section 6.2 Probability Models
Probability.
Genetics and Probability
Statistics 1: Elementary Statistics
I flip a coin two times. What is the sample space?
Probability of TWO EVENTS
Fun… Tree Diagrams… Probability.
Presentation transcript:

Chapter 5: Probability Section 5.1: Probability Rules

Chapters 1-4 cover descriptive statistics. Chapters 9-12 (and beyond) cover inferential statistics. Inferential statistics uses data to answer questions about the population parameters while acknowledging randomness affecting our data. Probability is the foundation of inferential stats.

Question: Flip a “fair” coin, P(H)=0.5, 100 times. How many heads will you get? A.49 B.50 C.51 D.Anywhere from 0 to 100.

Using StatCrunch

Classical vs. Empirical vs. Subjective method for determining probabilities Statement: You believe you have a 85% chance of passing this course. Question: Which method of probability was used to get “85%”? A.Classical B.Empirical C.Subjective

Statement: Typically, a student has an 85% chance of passing this course. Question: Which method of probability was used to get “85%”? A.Classical B.Empirical C.Subjective

Statement: Toss two fair coins and the probability of getting two heads is Question: What method was used to calculate 0.25? A.Classical B.Empirical C.Subjective

Statement: The probability of a baby being a boy is just over Question: Which method was used to determine 0.51? A.Classical B.Empirical C.Subjective

Use the tree diagram to determine the probability of getting 2 heads out of 3 coin tosses.

An ugly example of a tree diagram: Determine the probability of getting a 9 from rolling a pair of fair dice.

List out the possible ways to roll a pair of dice and their sum: Die A→ B↓