'Systematic error' diaporamas de présentation

Civil Engineering Surveying

Civil Engineering Surveying. Adapted from: Roy Frank. Planning A Survey. Planning requires a well rounded understanding of surveying practices Process: Choice of accuracy required (depends on use to be made) Basic Control Topographic Photogrammetry. Planning A Survey. Existing Control

2.95k views • 79 slides

Devil physics The baddest class on campus IB Physics

Devil physics The baddest class on campus IB Physics. Tsokos Lesson 1-2 Uncertainties and errors. Reading Activity Questions?. Essential Idea.

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Instrument Characteristics

Instrument Characteristics. Scientific Instrument: A device for making a measurement. Measurement: An action intended to assign a number as the value of a physical quantity in stated units.

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Errors and Uncertainties in Biology

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Statistics for Linguistics Students

Statistics for Linguistics Students. Michaelmas 2004 Week 4 Bettina Braun www.phon.ox.ac.uk/~bettina. Overview. Discussion of last assignment z-distribution vs. t-distribution Between-subjects design vs. Within-subjects design t-tests for independent samples for dependent samples.

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High- p T Results from STAR

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Chemistry EIGHTH EDITION by Steven S. Zumdahl Susan Zumdahl

Chemistry EIGHTH EDITION by Steven S. Zumdahl Susan Zumdahl. Chapter 1 Chemical Foundations An Overview. Chemistry : Fundamentally concerned with how one substance changes to another. Science : A process for understanding nature and its changes

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Practical clinical chemistry

Practical clinical chemistry. Lab 1. Quality Assurance. Quality Assurance: The coordinate process of providing the best possible service to the patient and physician.

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Observation of dramatic transition in 2D correlation data

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Agronomic Spatial Variability and Resolution

Agronomic Spatial Variability and Resolution. What is it? How do we describe it? What does it imply for precision management?. Agronomic Variability. Fundamental assumption of precision farming Agronomic factors vary spatially within a field

553 views • 33 slides

Basic issues in measuring gender attitudes

Basic issues in measuring gender attitudes. Ko Oudhof Statistics Netherlands. What will I tell you?. Just for a start: your own contribution Subjective indicators What are attitudes Measurement issues Analytic issues Here and there: gender/ international comparability.

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Quality is a Lousy Idea-

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Sample Preparation and Results

Sample Preparation and Results. Results. Mean, Median, Average Deviation from the mean Absolute and Relative Measures: Relative = Absolute/Mean Value Precision Accuracy. Precision and Accuracy. ?. X. ??????. ??????. High Precision High Accuracy. ??????. ?. X. ??????. ??????.

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Measurement in Scientific Study and Uncertainty in Measurement

Lecture #3. Measurement in Scientific Study and Uncertainty in Measurement. Chemistry 142 A James B. Callis, Instructor Winter Quarter, 2006. Precision and Accuracy Errors in Scientific Measurements. Precision - Refers to reproducibility or how close the

365 views • 27 slides

Understanding lack of validity: Bias

Understanding lack of validity: Bias. Objectives. To define and discuss the concept of bias To define and discuss selection bias and information bias. To discuss exposure and outcome identification bias To discuss the results of information bias

1.12k views • 23 slides

ANALYTICAL CHEMISTRY CHEM 421/821, Spring 2013 MWF 11:30-12:20, Rm 130 Hamilton Hall COURSE OUTLINE Instructor: Dr.

ANALYTICAL CHEMISTRY CHEM 421/821, Spring 2013 MWF 11:30-12:20, Rm 130 Hamilton Hall COURSE OUTLINE Instructor: Dr. Robert Powers Office Labs Address: 722 HaH 721 HaH Phone: 472-3039 472-5316 e-mail:rpowers3@unl.edu web page: http://bionmr-c1.unl.edu/

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CE 513

CE 513. Erosion in the Fall Creek Watershed. Rick Faber. Erosion in the Fall Creek Watershed following the Clark Fire: Implications for the Hehe Timbersale. Clark Fire destroyed 5000 acres of undisturbed forest land in late 2003

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Common Sources of Bias : Selection bias Non-response bias Response bias Voluntary response (self-selected) sample Conven

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Point Estimation

Point Estimation. W&W, Chapter 7. Introduction. Population parameters like the mean ( ? ) and variance ( ? 2 ) are constants because there is only one true estimate of each.

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The Myth of Small Numbers (and Other Sources of Bias)

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