'Var x' diaporamas de présentation

Reliability

1.09k views • 61 slides

Stat 13 Final Review

Stat 13 Final Review. A. Probability tables to use. B. variance algebra, correlation, covariance, regression C. Probability and Conditional probability. Stat 13 Final review. A. Probability Tables to use. Before (midterm). After. Normal distribution. Chi-square distribution.

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Analysis and Design of Asynchronous Transfer Lines as a series of G/G/m queues

Analysis and Design of Asynchronous Transfer Lines as a series of G/G/m queues. Topics. The negative impact of variability in the operation of Asynchronous Transfer Lines Modeling the Asynchronous Transfer Line as a series of G/G/m queues Modeling the impact of various operational detractors

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Software Maintenance

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Software Maintenance

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U.S Aircrafts Carriers Arrangement Scheduling

U.S Aircrafts Carriers Arrangement Scheduling. Dongxu Wu Sining Gu Hong Ouyang. The Map. Distance between Dif. Spots. Basic Stand-by Strategy Each base can accommodate at most 2 carriers Each carrier can only stay on one hot-spot

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Chapter 5 Discrete Probability Distribution

I. Basic Definitions II. Summary Measures for Discrete Random Variable Expected Value (Mean) Variance and Standard Deviation III. Two Popular Discrete Probability Distributions Binomial Distribution Poisson Distribution. Chapter 5 Discrete Probability Distribution.

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03. Random Variable

Probability Mass Function Expectation ??? 2009/03/16. 03. Random Variable. 1.7 ~ 2.6. Outline. Review Conditional probability Random variable PMF Conditional PMF. Example 1.

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Small N - Large N: Some Alternatives

Research Methods Festival, Oxford, July 2006. Small N - Large N: Some Alternatives. Ray Kent University of Stirling. Limitations of mainstream quantitative methods. The focus is on the variable The thinking in linear The main pattern sought is covariation.

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Lesson #12 Discrete Probability Distributions

Lesson #12 Discrete Probability Distributions. Y = # people in ER in an hour. Flip 2 coins, X = # heads. y P(y). x P(x). p 0 p 1 p 2 p 3 p 4 ?. 0 1 2 3 4 ?. 0 1 2. .25 .50 .25. x = 0, 1, 2. For discrete distributions, f(x) is called the probability function.

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Compiling ASP into Event-Driven Action Rules

Compiling ASP into Event-Driven Action Rules. Neng-Fa Zhou (CUNY) Yi-Dong Shen (CAS) Jia-Huai You (U. Alberta). Background and Motivation. ASP is a powerful modeling language Elegant for knowledge-intensive problems Most ASP systems require grounding Grounding may take time

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Lecture 3 Normal distribution, stem-leaf, histogram

Lecture 3 Normal distribution, stem-leaf, histogram. Idealized Population, Box of infinitely many tickets, each ticket has a value. Random variable and probability statement P(X<85)

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LECTURE 5

LECTURE 5. TRUE SCORE THEORY. True Score Theory. OBJECTIVES: - know basic model, assumptions - know definition of reliability, relation to TST - be able to compute estimates of reliability for: internal consistency test-retest parallel forms. BASIC EQUATION. x = ? + e

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7 sum of RVs

7 sum of RVs. 7-1: variance of Z. Find the variance of Z = X+Y by using Var (X), Var (Y), and Cov (X,Y). 7-2: iid RVs. Find the mean and variance of the sum of n independent, identically distributed ( iid ) random variables , each with mean ? and variance ? 2.

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7.5 The Variance and Standard Deviation

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Expected Values US 5258 3 Credits Internal Finding the Variance

Large spread. Expected Values US 5258 3 Credits Internal Finding the Variance The questions in the assessment will also ask you to find the variance, which is a measure of spread. Small spread. Multiply the values in the x column by the values in the p column.

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