PPT-Normality, P-values, Comparing 2 Groups
Author : natalia-silvester | Published Date : 2016-12-06
Analysis of Biological Data Ryan McEwan and Julia Chapman Department of Biology University of Dayton ryanmcewanudaytonedu First Principle As a scientist investigator
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Normality, P-values, Comparing 2 Groups: Transcript
Analysis of Biological Data Ryan McEwan and Julia Chapman Department of Biology University of Dayton ryanmcewanudaytonedu First Principle As a scientist investigator or data handler it is your personal responsibility to make sure that the analysis you are doing is appropriate. Key concepts. Testing conditions of applications in complex study design. Residuals. Tests of normality. Residuals plots. Residuals vs. fitted. QQ plots. Cook’s distance. Conditions of applications. the . Shower. Magic . system. and a . regular. . shower. with MIPS. Katariina Hirvonen. Hilla Kyrö. Linda Anttila. Matias Toivanen. The idea. As long a . shower. as . you. . want. with 10 . litres. “Essentially. , all models are wrong, but some are . useful”. George E.P. Box. Your model . has to be. wrong…. … but that’s o.k.. if it’s illuminating!. Linear Model. Assumptions. Absence of. What can we compare?. 3D shapes (Scalar. coupling constants, a.k.a. J-values, nuclear . Overhauser. effects. ). Atomic motions (RMSF, Order Parameters). NOE intensities may be used to estimate the distance between hydrogen atoms, separated by less than 4 Å . Examine the concepts of normality . and abnormality. What is normal . behaviour. ?. In pairs or small groups discuss examples of . behaviour. that is normal, and . behaviour. that is abnormal.. Examine the concepts of normality . Linear Function. Y = a + bX. Fixed and Random Variables. A FIXED variable is one for which you have every possible value of interest in your sample.. Example: Subject sex, female or male.. A RANDOM variable is one where the sample values are randomly obtained from the population of values.. The Holocaust and Rwanda. Genocide. the deliberate and systematic destruction of a racial, political, or cultural group. Examples: Holocaust, Rwanda, Armenians, Bosnia, Sudan. Concentration Camp for Bosnian Muslims and Croats. PowerPoint designed for DVI. By. Camilla S. . Haneberg. COMPARING VALUES. VALUE IN THE LIGHT . VS. . VALUE IN SHADOW. W. here would you divide the lighted side from the shadow side on this hand cast image?. Into to . Comparing . 2 Groups. Analysis of Biological Data/Biometrics. Dr. Ryan McEwan. Department of Biology. University of Dayton. ryan.mcewan@udayton.edu. First Principle:. As a scientist, investigator or data handler, it is your personal responsibility to make sure that the analysis you are doing is appropriate.. Data Analysis & Computers II. Slide . 1. Assumption of normality. Assumption of normality. Transformations. Assumption of normality script. Practice problems. SW388R7. Data Analysis & Computers II. My Email. awolters@scopus.vic.edu.au. . DISCLAIMER:. I do not represent . vcaa. . This is just my interpretation of the new study design requirements.. Activities to Demonstrate. Any . time I do an activity, big or small, I will. Means. Lecture PowerPoint Slides. Basic Practice of Statistics. 7. th. Edition. In Chapter 21, We . C. over …. Two-sample . problems. Comparing two population means. Two-sample . t. procedures. Using technology. Jinxia. Ma. November 7, 2013. Contents. What are robust methods. Why robust methods. How to conduct the robust methods analysis. Apply robust analysis to your data. What are “robust methods”?. Robust statistics. Presented by. Kelly Benson. Mouiad Al-Wahah. 1. Definitions we agreed upon... Def 1. . Diagnosis is the problem of trying to find what is wrong with some system based on knowledge about the design/structure of the system, possible malfunctions that can occur in the system and observations made of the behavior of the system..
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