'Relative frequency approach' presentation slideshows

Lecture Slides

Lecture Slides. Elementary Statistics Eleventh Edition and the Triola Statistics Series by Mario F. Triola. Chapter 4 Probability. 4-1 Review and Preview 4-2 Basic Concepts of Probability 4-3 Addition Rule 4-4 Multiplication Rule: Basics

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Chapter 5 Probability Concepts

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Chapter 5 Probability Concepts

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STA 291 Summer 2010

STA 291 Summer 2010. Lecture 6 Dustin Lueker. Coefficient of Variation. Standardized measure of variation Idea A standard deviation of 10 may indicate great variability or small variability, depending on the magnitude of the observations in the data set

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Chapter 4 Introduction to Probability Dr. Ayham Jaaron

Chapter 4 Introduction to Probability Dr. Ayham Jaaron. Dealing with Uncertainly. In the previous chapters we discussed the analysis of decisions where uncertainty was not considered to be a major factor. As we have noticed that decision making involves some extent of uncertainty.

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STA 291 Fall 2009

STA 291 Fall 2009. Lecture 8 Dustin Lueker. Probability Terminology. Experiment Any activity from which an outcome, measurement, or other such result is obtained Random (or Chance) Experiment An experiment with the property that the outcome cannot be predicted with certainty Outcome

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STA 291 Fall 2009

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Chapter 7

Chapter 7. Probability. Definition of Probability. What is probability? There seems to be no agreement on the answer. There are two broad schools of thought: frequency and nonfrequency. Even among the frequency school, there are at least two definitions: a priori and a posteriori.

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Events and Their Probabilities

Events and Their Probabilities. Folks often want to know the probability of an event so they can plan their day (or whatever).

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Chapter 5

Chapter 5. Simulation Modeling. Introduction. In many situations a modeler is unable to construct an analytic (symbolic) model adequately explaining the behavior being observed because of its complexity or the intractability of the proposed explicative model .

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Probability classical approach P(event E) = N e /N, where N = total number of possible outcomes, N e = total number of

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Homework Worksheet: Problem 1

Homework Worksheet: Problem 1. 1 sd. 1 sd. .68. 30. 32. 28. Homework Worksheet: Problem 2. 2 sd. 2 sd. .95. 32. 28. 34. 26. 30. Homework Worksheet: Problem 3. 3 sd. 3 sd. .997. 24. 36. 32. 28. 34. 26. 30. Homework Worksheet: Problem 4. .50. 24. 36. 32. 28. 34.

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