'Skewed distribution' diaporamas de présentation

Descriptive statistics

Descriptive statistics. 922. What do we need to run an experiment?. Hypothesis (Linguistic) Participants Task (stimuli = questions, responses = answers) Results Conclusions Key terms: stimulus design, response measure. Example. Show me the cat that bit the dog

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Descriptive Statistics

Descriptive Statistics. the everyday notions of central tendency. Usual Customary Most Standard Expected normal Ordinary Medium commonplace. NY Times, 10/24/ 2010 Stories vs. Statistics By JOHN ALLEN PAULOS. Overview. What are descriptive statistics? A bit of terminology/notation

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Statistics Primer

Statistics Primer. Xiayu (Stacy) Huang Bioinformatics Shared Resource Email: bsr_help@sanfordburnham.org Sanford | Burnham Medical Research Institute. Outline. Overview of basic statistics Introduction Descriptive statistics Inferential statistics

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Chapter 7 Item Analysis

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EDPC 5310 Applied Research Design for Educators

EDPC 5310 Applied Research Design for Educators. Evaluating Research Reports. Major Sections of a Research Report. Introduction Review of Literature Methods/procedure Results Conclusions, Recommendations, and Implications. Major Elements of Each Section I. Introduction.

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Chapter 3: Central Tendency

Chapter 3: Central Tendency. Central Tendency. In general terms, central tendency is a statistical measure that determines a single value that accurately describes the center of the distribution and represents the entire distribution of scores.

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Chapter 2

Chapter 2. Describing distributions with numbers. Chapter Outline. 1. Measuring center: the mean 2. Measuring center: the median 3. Comparing the mean and the median 4. Measuring spread: the quartiles 5. The five-number summary and boxplots 6. Measuring spread: the standard deviation

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measures of centrality

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Predicting information seeker satisfaction in community question answering

SIGIR 2008. Predicting information seeker satisfaction in community question answering. Yandong Liu, Jiang Bian , Eugene Agichtein from Emory & Georgia Tech University. CQA - Community Question Answering ?? ? ? ???????????????. IS ASKER IN QA COMMUNITY SATISFIED?.

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Stats Review

Stats Review. Chapter 3. 3.1 First Step in Producing Data . Experiment Design The arrangement or patterns for producing data How many individuals to collect data from? How to select individuals? How to form groups if needed?. Anecdotal Evidence

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Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). Agenda. Lab Stuff Questions about Chi-Square? Intro to Analysis of Variance (ANOVA). This Thursday: Lab 4. Final lab will be distributed on Thursday Very similar to lab 3, but with different data

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Review for Exam One

Review for Exam One. Level of Measurement Frequency Distributions Measures of Central Tendency Measures of Dispersion. Level of Measurement.

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STATISTICS FOR BUSINESS

STATISTICS FOR BUSINESS. Chapter 5 : Continuous distributions and probability. Your can of beer, bar of chocolate, or length of fabric. STATISTICS FOR BUSINESS ( Continuous distributions and probability). Your can of beer, bar of chocolate, or length of fabric.

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GMSM Methodology and Terminology

GMSM Methodology and Terminology. Christine Goulet, UCLA GMSM Core Members. Plan. Methodology overview Method Objectives Solicitation Information Terminology. Methodology. Propose scenarios (M, r) M=7, r=10 km, m +2 s = + 2 e M=7.5, r=10 km, m +1 s = + 1 e

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Neuroenhancement Beyond the Normal: A Topic for Disability Studies

Neuroenhancement Beyond the Normal: A Topic for Disability Studies. Natalie Ball; Gregor Wolbring Department of Health Sciences, Faculty of Medicine, University of Calgary neball@ucalgary.ca. Image: http://www.gehirn-und-geist.de/alias/dachzeile/gehirn-geist-das-memorandum/1008082.

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Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). I231B Quantitative Methods. Syllabus Changes. Thursday April 24 th , Regression April 29: Multivariate Regression May 1: Regression Diagnostics May 6 th : Logistic Regression May 8 th : Display of some advanced topics; Course Review. Analysis of Variance.

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Statistical Significance for a two-way table

Statistical Significance for a two-way table. Inference for a two-way table. We often gather data and arrange them in a two-way table to see if two categorical variables are related to each other. Look for an association between the row and column variables.

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Describing Distributions

Describing Distributions. SHAPES. Bimodal. Unimodal. Multimodal. Uniform. GENERAL SHAPES of DATA. Bimodal height (M & F). Unimodal t est scores. Multimodal f avorite numbers. Uniform # pencils manufactured each day at factory. MEASURES OF CENTER. MODE data value repeated most

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THE ROLE OF SOCIAL WORKERS IN ADDRESSING INEQUALITIES AND DISCRIMINATIONS

THE ROLE OF SOCIAL WORKERS IN ADDRESSING INEQUALITIES AND DISCRIMINATIONS Charles N. Mbugua, Regional Vice-President for Africa International Federation of Social Workers. Tours ,France Tuesday July 2,2008. 1. Introduction.

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Central Tendency

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