'Statistical significance' diaporamas de présentation

Overview of Hypothesis Testing

Overview of Hypothesis Testing. Laura Lee Johnson, Ph.D. Statistician National Center for Complementary and Alternative Medicine johnslau@mail.nih.gov Monday, November 7, 2005. Objectives. Discuss commonly used terms P-value Power Type I and Type II errors

1.04k views • 71 slides

Inferential Statistics

Inferential Statistics. Research Methods for Public Administrators Dr. Gail Johnson. Welcome to Inferential Statistics. This is a companion to Sampling Demystified It could be argued that this should follow that chapter

763 views • 55 slides

Interpreting RTI Using Single-Case Time Series Analysis

Interpreting RTI Using Single-Case Time Series Analysis. Paul Jones, Ed.D. Professor & Doctoral Program Coordinator School Psychology & Counselor Education Department of Educational Psychology University of Nevada, Las Vegas Las Vegas, NV. The Controversies of Our Time: .

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Introduction to Category Management

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Session 3 Basic Results Database Deborah A. Zarin, M.D.

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Quantitative Structure-Activity Relationships (QSAR)

Quantitative Structure-Activity Relationships (QSAR).

4.08k views • 43 slides

Presenting statistical results to nonstatistical audiences

Presenting statistical results to nonstatistical audiences. Jane E. Miller, PhD. Overview. Academic and nonstatistical audiences Defined Interests and background Adapting description of methods Adapting presentation of results. Why adapt material?.

934 views • 35 slides

Unit 2: Research Methods

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Basic Data Analysis for Quantitative Research

Basic Data Analysis for Quantitative Research . 11. McGraw-Hill/Irwin. Learning Objectives. Explain measures of central tendency and dispersion Describe how to test hypotheses using univariate and bivariate statistics Apply and interpret analysis of variance

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Chapter 5 Research Methods in the Study of Abnormal Behavior

Chapter 5 Research Methods in the Study of Abnormal Behavior. Ch 5. The Scientific Method. Science is the pursuit of systematized knowledge through observation Science is both a method and a goal Scientific propositions must be Stated clearly and precisely

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03/09/2007 Earthquake of the Week

New Empirical Relationships among Magnitude, Rupture Length, Rupture Width, Rupture Area, and Surface Displacement Donald L. Wells and Kevin J. Coppersmith BSSA, 1994. 03/09/2007 Earthquake of the Week. Introduction.

686 views • 21 slides

Global Need for Innovative Medicines

Global Need for Innovative Medicines. 2020: Global population projected to rise to 7.6B (from 6.5B) 9.4% of population will be over 65 In the U.S., someone turns 60 every seven seconds 80% over age of 75 take at least one medication. Success in biotech . People. Financing. Idea. SIRT

335 views • 21 slides

Political Science 30: Political Inquiry

Political Science 30: Political Inquiry. Linear Regression II: Making Sense of Regression Results. Interpreting SPSS regression output Coefficients for independent variables Fit of the regression: R Square Statistical significance How to reject the null hypothesis Multivariate regressions

456 views • 20 slides

Research and Evaluation: The Basics A Workshop for Educators Session 519 Saturday, June 30, 2007

Research and Evaluation: The Basics A Workshop for Educators Session 519 Saturday, June 30, 2007. Rita DeMaria, Ph.D. Scott Gardner, Ph.D. Research. Careful, thorough, patient, systematic investigation undertaken to establish facts or principles in field of study Use of the scientific method

342 views • 20 slides

The standard normal distribution

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InSync Adaptive Signal Timing Evaluation on MO 291

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Dummy Variables; Multiple Regression July 21, 2008

Dummy Variables; Multiple Regression July 21, 2008. Ivan Katchanovski , Ph.D. POL 242Y-Y. Dummy Variables. Dummy variable: a variable that includes two categories which assume values 1 and 0 Very useful in regression analysis

674 views • 13 slides

Chapter 10

Chapter 10. A Brief Course in Statistics. Descriptive Statistics. Central tendency and dispersion The shape of distributions. Inferential Statistics. Probability theory A study of cheating. Factors that Influence Significance Tests. Alpha levels and Type I and II errors Effect size

379 views • 7 slides