'Sampling error' diaporamas de présentation

Concepts & Methods in Biology

Concepts & Methods in Biology. Chapter 1. What is the goal of science?. Investigate and understand nature Explain events in nature Predict events from explanations. How is science studied?. Observations Hypothesis Experimentation Data collection and analysis Conclusions. Quantitative

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Statistics for Science Journalists

865 views • 72 slides

Chapter 4

Chapter 4. Process Measurement. Effective Metrics. SMART Simple Measurable Actionable (they provide a basis for decision-making ) Related (to customer requirements and to each other ) Timel y. Identifying and Selecting Process Metrics.

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Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data

IEEE ICDE 2008. Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data. Reynold Cheng Hong Kong Polytechnic University csckcheng@comp.polyu.edu.hk http://www.comp.polyu.edu.hk/~csckcheng. Jinchuan Chen ( csjcchen@comp.polyu.edu.hk )

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GOVT 311 Lecture 2: Survey Methodology

GOVT 311 Lecture 2: Survey Methodology. Who Should Be Invited to the Republican Debates?. Politico: Must have at least 4% support in any election poll conducted by Gallup, Bloomberg, NBC/ WSJ , ABC/ Washington Post , CBS/ The New York Times , CNN, FOX, and the Associated Press.

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Chapter 6 Introduction to Sampling Distributions

Business Statistics: A Decision-Making Approach 6 th Edition. Chapter 6 Introduction to Sampling Distributions. Chapter Goals. To use information from the sample to make inference about the population Define the concept of sampling error

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Chapter 6

Chapter 6. Public Opinion and Political Socialization. Public Opinion Matters-Just ask them!. Public Opinion is Important. Can legitimize political authority through polls Can make political actors more responsive Clinton ? delegate model Bush (G.W.)? trustee model

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Alat Penelitian (Questioner), Teknik Sampling & Analisis Data

Alat Penelitian (Questioner), Teknik Sampling & Analisis Data. Proses pembuatan, pemahaman dan pengujiannya. PROSES PEMBUATAN KUESIONER. Terjemahkan kebutuhan data ke dalam bentuk pertanyaan. Periksa bentuk pertanyaan Periksa bahasa dan relevansinya Periksa urutan pertanyaan

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The problem of sampling error

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Meta Analysis

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1. Homework #2 [deleted from posted] 2. Inferential Statistics 3. Review for Exam

1. Homework #2 [deleted from posted] 2. Inferential Statistics 3. Review for Exam. Sampling Terminology. Element : the unit of which a population is comprised and which is selected in the sample

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Intro to Survey Design and Issues

Intro to Survey Design and Issues. Sampling methods and tips. Making Inferences. What is a population? All the cases for some given area or phenomenon. One can conduct a census of an entire population, as the US government attempts to do.

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Review

Review. Measure testosterone level in rats; test whether it predicts aggressive behavior. What would make this an experiment? Randomly choose which rats to measure Force some rats to get into fights Manipulate testosterone levels Make sure nothing differs across rats except testosterone.

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Chapter 4

Chapter 4 . Research Participants: Samples. Topics of Discussions. Sampling: Definition and Purpose Definition of a population Selecting a Random Sample Simple Random Sampling Stratified Sampling Cluster Sampling Systematic Sampling. Topics of Discussion (contd).

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Uncertainty in Base Flood Elevation

Uncertainty in Base Flood Elevation. Kate Marney CE 394 Statistics in Water Resources. Introduction. HEC Statistical Software Package Bulletin 17B analysis National Academies Study Conclusion: Sampling error does not vary with topography, drainage area, or landscape type. Average.

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Sampling-big picture

Sampling-big picture. Want to estimate a characteristic of population ( population parameter ). Estimate a corresponding sample statistic Sample must be representative of population on variable(s) of interest Sampling error is probability of getting an un-representative sample by chance

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Haiti Expert Mission Process Observations

Haiti Expert Mission Process Observations. Statistical Back-Story Fritz Scheuren. Rules of Engagement. Goals of Mission Validating Fitness for Use as a Basis for A Run-Off Not Simply Conformance to Requirements Voting Recommendations . Main Team Process Steps. Start Up Preparations

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Statistical Inference

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Statistics

Statistics. Introductory class. Statistics. Review Web page and syllabus Questions and discussion Understand how statistics relates to scientific method and epistemology Realize the usefulness of statistics in the search for truth. Learning Outcomes (From syllabus).

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Statistics

Statistics. IMD09120: Collaborative Media Brian Davison 2010/11. Contents. Why we need statistics Distributions Normal distribution Standard deviation Sampling error Standard normal distribution. Why we need statistics. Typical research questions: Which option is better?

247 views • 11 slides