'How consistent' diaporamas de présentation

Statistical inference for astrophysics

Statistical inference for astrophysics. A short course for astronomers Cardiff University 16-17 Feb 2005 Graham Woan, University of Glasgow. Lecture Plan. Why statistical astronomy? What is probability? Estimating parameters values the Bayesian way the Frequentist way

1.37k views • 115 slides

Reliability

Reliability. Psych 395 - DeShon. How Do We Judge Psychological Measures?. Two concepts: Reliability and Validity Reliability: How consistent is the assessment over time, items or raters? How reproducible are the measurements? How much measurement error is involved?

1.59k views • 81 slides

Data

Data. Handbook Chapter 4 & 5. Data. A series of readings that represents a natural population parameter It provides information about the population itself. Organizing Data. Important prelude to describing and interpreting data. Charting Data. Tables Organized by rows and columns.

750 views • 48 slides

English for Business IV. Implications for business

English for Business IV. Implications for business. Karl Seeley, PhD Hartwick College. Fukushima. Casualties Minimum of 50? The technicians still trying to prevent a worse disaster Maximum? More radiation can get out Hard to tell how bad it could be

601 views • 48 slides

Likelihood and automation in Phaser

Likelihood and automation in Phaser. Likelihood and automation in Phaser. Likelihood background, use in crystallography Molecular replacement SAD phasing log-likelihood-gradient maps SAD phasing from partial model bootstrapping from MR solution iterative phasing. 1/3 4 =1/81. 3. ?.

642 views • 44 slides

PRIME Theory of Motivation and its application to addiction

PRIME Theory of Motivation and its application to addiction. Robert West University College London SSA Annual Conference, York November 2006. Outline. Theories of motivation Constructing a coherent synthetic model of motivation: PRIME Theory Observation and theory in addiction

779 views • 42 slides

Seeing Change Through to the Classroom

Seeing Change Through to the Classroom. Principal Leadership Academy November 2012. Teaching. Getting Ready. Teacher-Directed Instruction. Instructional Teams. Procedures. After Class. Teacher-Student Interaction. Units of Instruction. Classroom Management.

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Session 4: Analysis and reporting Steve Higgins (Chair) Paul Connolly Stephen Gorard

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MIS 463

MIS 463. Analytic Hierarchy Process. The Analytic Hierarchy Process (AHP). It is popular and widely used method for multi-criteria decision making. Allows the use of qualitative, as well as quantitative criteria in evaluation. Founded by Saaty in 1980 .

787 views • 32 slides

University of Rochester Participation in CDF

University of Rochester Participation in CDF. Outline. Introduction/Group Members Our Operational Responsibilities Physics Pursuits Top Physics Non-Standard Top Coupling, Dilepton signature, New physics search in Dileptons, Top to taus Electroweak Physics,

439 views • 32 slides

The Quality Improvement Model

The Quality Improvement Model. Define Process. Select Measures. Collect & Interpret Data. Collect & Interpret Data: Diagnosing Variability. Is Process Stable ?. No. Investigate & Fix Special Causes. Purpose: Begin to understand why there is variability in data collected. Yes.

364 views • 24 slides

Intelligence

Intelligence. Lecture 11 Chapter 10. What is Intelligence?. General Intelligence. Charles Spearman (1863-1945) who helped develop the factor analysis approach in statistics. Multiple types of Intelligence Theories. Howard Gardner (1983, 1999 )

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LG675 Session 5 : Reliability II

LG675 Session 5 : Reliability II. Sophia Skoufaki sskouf@essex.ac.uk 15/2/2012. What is item analysis? How can we conduct item analysis for a) norm-referenced data-collection instruments? Only statistical analyses provided through SPSS

379 views • 18 slides

Introduction to Inference: Confidence Intervals and Hypothesis Testing

Presentation 8. First Part. Introduction to Inference: Confidence Intervals and Hypothesis Testing. What is inference?. Inference is when we use a sample to make conclusions about a population. . 2. Describe the SAMPLE. 1. Draw a Representative SAMPLE from the POPULATION.

350 views • 18 slides

Media Literacy

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Principles of Test Construction

Principles of Test Construction. For a psychological test to be acceptable it must fulfill the following three criteria:. Standardization Reliability Validity. Standardization.

4.72k views • 6 slides

Measurement and Uncertainties Lab

Measurement and Uncertainties Lab. IB Chemistry 2012-2013. Choose the Following. 3 Different Sized Beakers 3 Different Sized Erlenmeyer flasks 2 Different Sized Volumetric Flask 3 Different Sized Graduated Cylinders The different scales at the back of the room A Buret. For Each.

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Thought for the day:

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Thought for the day:

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Why act?

Why act?. Helen Hirst Director of CCG Development, NHS England Prof Sir Muir Gray Joint National Lead, NHS Right Care & Public Health England . Twitter # CforValue. HARM, from overuse even when quality is high WASTE OF RESOURCES through low value activity

130 views • 0 slides