'Sample space' presentation slideshows

Chapter 5: Probability

Chapter 5: Probability. 5.1 Probability Rules 5.2 The Addition Rule and Complements 5.3 Independence and the Multiplication Rule 5.4 Conditional Probability and the General Multiplication Rule 5.5 Counting Techniques. November 4, 2008. 1. Example.

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Basic Probability And Probability Distributions

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Chapter 3

Chapter 3. 3-1. Probability . Outline. 3-2. 3-1 Introduction 3-2 Fundamentals 3-3 Addition Rules for Probability 3-4 Multiplication Rules: Basics 3-5 Multiplication Rules: Beyond the Basics. Objectives. 3-3.

820 views • 55 slides

Introduction to Statistics

Introduction to Statistics. Dr. P Murphy. Why study Statistics?. We like to think that we have control over our lives. But in reality there are many things that are outside our control. Everyday we are confronted by our own ignorance. According to Albert Einstein:

842 views • 54 slides

Introduction to Statistics

Introduction to Statistics. Dr. P Murphy. Why study Statistics?. We like to think that we have control over our lives. But in reality there are many things that are outside our control. Everyday we are confronted by our own ignorance. According to Albert Einstein:

690 views • 54 slides

Basic Probability

Basic Probability. Introduction. Probability is the study of randomness and uncertainty. In the early days, probability was associated with games of chance (gambling). . Simple Games Involving Probability.

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Counting and Probability

Counting and Probability Sets and Counting Permutations & Combinations Probability Sets and Counting A set is a well-defined collection of distinct objects. Well-defined means there is a rule that enables us to determine whether a given object is an element of the set.

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Probability: The Study of Randomness

Probability: The Study of Randomness. Chapter 4. 4.1 Randomness. Think about flipping a coin n times If n = 2, can have 2 heads (100% heads), 1 heads and 1 tail (50% heads), or 2 tails (0% heads). Now consider n = 200.

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Nuts and Bolts cont.

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Introduction to Probability

Introduction to Probability. Experiments Counting Rules Combinations Permutations Assigning Probabilities. These are processes that generate well-defined outcomes. Experiments. Probability is a numerical measure of the likelihood of an event occurring. 0. 1.0. 0.5. Probability:.

491 views • 22 slides

Chapter 4 Probability: Probabilities of Compound Events

Chapter 4 Probability: Probabilities of Compound Events 4.1THE ADDITION RULE 4.1.1 The General Addition Rule 4.1.2The Special Addition Rule for Mutually Exclusive Events 4.2 Conditional Probabilities 4.3 The Multiplication Rule 4.4 Independent Events and the Special Multiplication Rule

1.87k views • 21 slides

Probability

Probability. The Concept of Probability Sample Spaces and Events Some Elementary Probability Rules Conditional Probability and Independence. Probability. An experiment is any process that generates well-defined outcomes. Experimental outcomes are the possible outcomes of an experiment.

859 views • 21 slides

Probability

Probability. The Concept of Probability Sample Spaces and Events Some Elementary Probability Rules Conditional Probability and Independence. Probability. An experiment is any process that generates well-defined outcomes. Experimental outcomes are the possible outcomes of an experiment.

365 views • 21 slides

Lecture 2. Randomness

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Math Pacing

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What is Probability?

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Transect Sampling Methods for a Minority Population Genetic Epidemiology Study

Transect Sampling Methods for a Minority Population Genetic Epidemiology Study. Nathan K. Risk, M.A. Krista L. Russell, B.A. Rumi Kato Price, Ph.D., M.P.E. *This study is supported by the Missouri Alcohol Research Center (MARC). (P50AA1198, Center Director Andrew C. Heath, D. Phil).

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Probability Models 6.2

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Chapter 4 Probability

Chapter 4 Probability. The description of sample data is only a preliminary part of a statistical analysis. A major goal is to make generalizations or inferences about the target population on the basis of the information obtained from the sample data.

611 views • 11 slides

Counting Story Project Exemplar

Counting Story Project Exemplar. MDM4U. Counting Principles. Lists. Distinct Objects. Pascal's Triangle. Permutations. Combinations. Order. No order. Probability. Likelihood. Experimental. Theoretical. Charts. Trial. Sample Space. Continuous Sample Space. Discrete Sample Space.

326 views • 11 slides