PDF-Assessing Normality

Normal Probability Plots Look for the observations to fall reasonably close to the green line Strong deviations from the line indicate nonnormality Expected Cummulative Prob Expected Cummulative. At the City of London Migraine Clinic you will be given diary cards on your 64257rst visit and they will be assessed at your follow up visit If you are able to come to the clinic with diary information at your 64257rst visit this will help the docto Explaining the Normal Distribution. Preliminaries: How to describe data. Discussion Question: How do we describe data in Statistics?. In this course, the way we describe data is by using the C.U.S.S. Method. We look at these characteristics:. Regression. slide . 1. Addendum. Testing assumptions of simple linear regression. 1. KNR 445. Regression. slide . 2. Now, how does one go about it?. The approach taken in this course will be to teach you to control . Continuity and change: prospects for. civil–military relations in Turkey”. “Turkey and its army. Erdogan and his generals” , . The Economist. , 2 Feb 2013 . W8. PSIR 426. Civilian-Military Relations. Instructional Materials. http://. core.ecu.edu/psyc/wuenschk/PP/PP-MultReg.htm. aka. , . http://tinyurl.com/multreg4u. Introducing the General. Linear Models. As noted by the General, the GLM can be used to relate one set of things (. 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. “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. 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.. Are My Data Normal?. @UWE_JT9. @. dave_lush. Scientific . Practice. Do My Data . Fit?. Statistics relies on having expectations about how experimental data are distributed. if we know how we expect data to behave, we can draw inferences if we observe its behaviour change. Data Analysis & Computers II. Slide . 1. Assumption of normality. Assumption of normality. Transformations. Assumption of normality script. Practice problems. SW388R7. Data Analysis & Computers II. Lecture 7 – Non-normality and outliers. Normally distributed data. Many of the statistical tests we will study rely on the assumption that the data were sampled from a normal distribution. How reasonable is this assumption?. : . Using Microsoft Excel for . Univariate. and Bivariate Analysis. Alfred P. Rovai. The Normal Curve and . Univariate. Normality. PowerPoint Prepared by . Alfred P. Rovai. Presentation . © . 2015 by Alfred P. Rovai. 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..