PPT-What Is Normality?

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 CUSS 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. U.S. Coal Mine Production – 2011. Source: www.eia.gov. Data Description. Coal Mine Production and Labor Effort for all Mines Producing Over 100,000 short tons of Coal in 2011. Units: Mine (n = 691). p tions 1 Testing Assumptions: Normality and Equal Variances So far we have been dealing with parametric hypothesis tests, mainly the different versions of the t-test. As such, our statistics have 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. normality in the study. While no one package had an exact distribution of 20% per flavor, each flavor is normally distributed among the 36 packages examined. In addition, the total Skittles per bag “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. Use of nacelle lidar data . to explore impact of . non-linear averaging. chris.slinger@zephirlidar.com. +44 1531 650 757. 02 September 2014. Background.. . From the April 2014 PCWG meeting:. “Existing correction methods (. Normal Probability Plots: Look for the observations to fall reasonably close to the green line. Strong deviations from the line indicate non-normality. Expected Cummulative Prob Expected Cummulative 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 . 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. 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. 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..