'Transformed data' presentation slideshows

Homework

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Periodicities in variable stars: a few issues

Periodicities in variable stars: a few issues. Chris Koen Dept. Statistics University of the Western Cape. Summary. Variable stars The periodogram Quasi-periodic variations Periodic period changes. Some Example Lightcurves. Lightcurve: brightness plotted against time (or

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Bruce Weaver Northern Ontario School of Medicine Northern Health Research Conference

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AP Statistics

AP Statistics. Chapter 10 Re-Expressing data: Get it Straight. Objectives:. Re-expression of data Ladder of powers. Straight to the Point.

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m-2s m-s m m+s m+2s

Ph.D. COURSE IN BIOSTATISTICS DAY 3. Example: Serum triglyceride measurements in cord blood from 282 babies (Data file: triglyceride.dta ). m = sample mean s = sample standard deviation. m-2s m-s m m+s m+2s. The distribution of serum triglyceride does not look like a normal

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Transforming the data

Transforming the data. Modified from: Gotelli and Allison 2004. Chapter 8; Sokal and Rohlf 2000 Chapter 13. What is a transformation?. It is a mathematical function that is applied to all the observations of a given variable

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Transforming Relationships

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NON-PARAMETRIC DATA

NON-PARAMETRIC DATA. Parametric Tests. Parametric tests assume that data fits a Normal distribution When you plot the data as a frequency histogram, it should look like a bell-shaped curve. Non-parametric Tests. However, biological variables are often not normally distributed

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Community Ecology BDC331

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Data Transformation

Data Transformation. Objectives: Understand why we often need to transform our data The three commonly used data transformation techniques Additive effects and multiplicative effects Application of data transformation in ANOVA and regression. Why Data Transformation?.

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All of the following people have doctorates. Which one do you think has a Ph.D. in math?

All of the following people have doctorates. Which one do you think has a Ph.D. in math?. A. B. C. D. Introduction to Size and Scale. National Academies and HHMI Summer Institutes Gulf Coast Summer Institute 2012

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Transforming the data

Transforming the data. Modified from: Gotelli and Allison 2004. Chapter 8; Sokal and Rohlf 2000 Chapter 13. What is a transformation?. It is a mathematical function that is applied to all the observations of a given variable

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VCE Further Maths

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One-Way ANOVA

One-Way ANOVA. Problem 3.26, when assumptions are violated. Estimates of terms:. We can estimate the mean response for Failure Time for problem 3.26 from the data by which is called the Predicted Value and which is called the Residual Value.

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NORWELL PUBLIC SCHOOLS 21 st Century Schools for 21 st Century Students

NORWELL PUBLIC SCHOOLS 21 st Century Schools for 21 st Century Students DDM Development & Piloting. James M. LaBillois September, 2013. General Timeline. Summer, 2012 Review Model System Planned for Pilot Roll-Out Determined department(s)/level(s)

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AP STATISTICS LESSON 4 -1

AP STATISTICS LESSON 4 -1. TRANSFORMING RELATIONSHIPS. ESSENTIAL QUESTION: How can curves be transformed into straight lines?. Objectives: To use inverse functions to transform data into linear equations.

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