'Highest score' diaporamas de présentation

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Papatheochari Stavroula Environmental Scientist Ecological Recycling Society

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Percentile/SFO Comparison Charts

Percentile/SFO Comparison Charts. Data and Evaluation Division Feb 2008. Purpose of presentation. To explain to schools the replacement for the Like School Group approach, the Percentile/SFO Comparison Charts. . Topics. The Problem The Previous Solution (LSGs) Alternatives Considered

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Understanding Statistical Information on Item Analysis Reports

Understanding Statistical Information on Item Analysis Reports. www.scantron.com. Detailed Item Analysis Report. Detailed Item Analysis Report. Total points possible on this exam. Detailed Item Analysis Report. Number of students who took this version of the exam.

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Explore & PLAN Report

March 19, 2012. Explore & PLAN Report. What is EPAS?. ACT family of assessments Explore (8 th grade) Predictor of high school readiness PLAN (10 th grade) Predictor of ACT performance ACT (11 th grade) Predictor of college readiness

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Multiple Sequence Alignment : NP - Hardness and How to Deal with It

Multiple Sequence Alignment : NP - Hardness and How to Deal with It. Jens Stoye Bielefeld University, Germany. Preliminaries : Pairwise Alignment. >pdb|1KSW|A Chain A, Structure Of Human C- Src Tyrosine Kinase (Thr338gly Mutant ) In Complex With N6-Benzyl Adp Length =452

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MEC1

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Weighted Usability Factors

Weighted Usability Factors. What is it?. W eighted U sability F actors. The WUF method. Example: Evaluating the best VCR. 1. Select the main factors and criteria. FACTORS. 1. Simplicity of Controls Play Fast Forward Rewind Counter Timer 2. Flexibility of Recording Options

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Benjamin Franklin Synthetic Interview

Benjamin Franklin Synthetic Interview. Marcos Amadeo Allison Styer Advisors: Don Marinelli, Scott Stevens. Background. Governor Ed Rendell is sponsoring this project. Installed in the lobby space of the Lights of Liberty show.

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Weighted Scoring Model (2-level: Factors and Criteria )

Weighted Scoring Model (2-level: Factors and Criteria ). A 1-level model is explained in Schwalbe, K. (2005), Information Technology Project Management. If used for usability analysis this is also called a Weighted Usability Factors (WUF) model. Example: Evaluating the best VCR.

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Personality Assessment Profile

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Chapter 5 Measures of Variability

Chapter 5 Measures of Variability. The importance of measuring variability IQV (index of qualitative variation) The range IQR (inter-quartile range) Variance Standard deviation Considerations for choosing a measure of variation. The Importance of Measuring Variability.

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Chapter 5: Measures of Variability

Chapter 5: Measures of Variability. The Importance of Measuring Variability The Range IQR (Inter-Quartile Range) Variance Standard Deviation Considerations for choosing a measure of variation. The Importance of Measuring Variability.

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The Electric Utility Industry in Nebraska presented to: Nebraska Chamber of Commerce and Industry January 30, 2014

The Electric Utility Industry in Nebraska presented to: Nebraska Chamber of Commerce and Industry January 30, 2014. John McClure General Counsel Nebraska Public Power District. Timothy J. Burke VP, Customer Service & Public Affairs Omaha Public Power District.

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Flood damage control

Flood damage control. Aim: To identify a variety of different flood defence schemes. To use GIS to evaluate flood defence schemes. Starter. Suggest different ways in which people can respond to the threat of flood events. Flood response. Permanent Flood wall. Temporary Flood wall.

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A r t

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Press the Back button on your browser to exit at any time.

Training Games, Inc. PowerPoint Team Builder - Pak 2 Overview. Click through this presentation using your mouse or the Page Down button. Press the Back button on your browser to exit at any time. Overview. Team Builder Pak 1 contains 2 different PowerPoint files and 10 total games.

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DECISION-MAKING

DECISION-MAKING. Chapter 16 Lecture 4. Rational Decisions are Based on These Assumptions:. The problem is clear and unambiguous A single, well-defined goal is to be achieved All alternatives and consequences are known Preferences are clear Preferences are constant and stable

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Weighted additive process

Weighted additive process Assign a weight to each attribute. Convert attributes values into numeric assessments. Compute a weighted score for each alternative. Select the alternative with the highest score. An example of weighted additive process weights

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The number below each bin is the highest score for that bin

Biol 352 1 st hour test 2012. C. B. D. A. F. The number below each bin is the highest score for that bin.

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