'Marginal probabilities' diaporamas de présentation

Probability

Probability. Random Experiment. Say I take a coin and flip it in the air and let it fall on the ground . I might be interested in which side of the coin is face up. The most basic outcomes on the coin are heads or tails.

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I. Survey Design Basics

I. Survey Design Basics. A. Foundations. What is your idea or argument? Ex. Public anger about the ACA will hurt the Democrats in 2014. What does that argument imply about data (your hypothesis)? Democrats will do worse than expected or normal

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Chapter 5

Chapters 1. Introduction 2. Graphs 3. Descriptive statistics 4. Basic probability 5. Discrete distributions 6. Continuous distributions 7. Central limit theorem 8. Estimation 9. Hypothesis testing 10. Two-sample tests 13. Linear regression

386 views • 25 slides

Probability theory

Probability theory. Petter Mostad 2005.09.15. Sample space. The set of possible outcomes you consider for the problem you look at You subdivide into different outcomes only as far as is relevant for your problem The sample space is the start of a simplified model for reality

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212 views • 14 slides

Conditional Probability

Conditional Probability. Conditional Probability

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Challenge Paper: Marginal Probabilities for Instances and Classes

Challenge Paper: Marginal Probabilities for Instances and Classes. Oliver Schulte School of Computing Science Simon Fraser University Vancouver, Canada. Class-Level and Instance-Level Queries.

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Probability Rules

Probability Rules. Rule 1. The probability of any event (A) is a number between zero and one. 0 < P(A) < 1. Probability Rules. Rule 2. The sum of the probabilities of all basic outcomes in the sample space must equal one P(S)=P(e 1 )+P(e 2 )+P(e 3 )+....+P(e n )=1. Probability Rules.

372 views • 10 slides