'Exploratory data analysis' diaporamas de présentation

MATH408: Probability & Statistics Summer 1999 WEEK 2

MATH408: Probability & Statistics Summer 1999 WEEK 2. Dr. Srinivas R. Chakravarthy Professor of Mathematics and Statistics Kettering University (GMI Engineering & Management Institute) Flint, MI 48504-4898 Phone: 810.762.7906 Email: schakrav@kettering.edu

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Exploratory Data Analysis

Exploratory Data Analysis. Height and Weight. Data exploration and Statistical analysis. Data checking, identifying problems and characteristics. Data exploration, categorical / numerical outcomes. Data. Analyzing a set of data. Look at the data (initial checks on the data)

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Univariate EDA

Univariate EDA. (Exploratory Data Analysis). EDA. John Tukey (1970s) data two components: smooth + rough patterned behaviour + random variation resistant measures/displays little influenced by changes in a small proportion of the total number of cases

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Research and Experimental Design

Research and Experimental Design. Edward O. Garton, Jon S. Horne, Jocelyn L. Aycrigg, and John T. Ratti 2012 Department of Fish and Wildlife Sciences, University of Idaho, Moscow, Idaho

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Guidelines for Assessment and Instruction in Statistics Education (GAISE)

Guidelines for Assessment and Instruction in Statistics Education (GAISE). Kari Lock Morgan STAT 597C : Teaching Statistics 2/5/15. Wisdom from George Cobb.

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AP Statistics

AP Statistics. Introduction to Elementary Statistical Methods Mr. Molesky Lakeville South High School Adapted from: Instructor Andre Bucove and Statistics in Action: Watkins, Scheaffer, Cobb. Statistics vs. Mathematics.

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Data Description

Data Description. Chapter 3 . 3-1 Introduction 3-2 Measures of Central Tendency 3-3 Measures of Variation 3-4 Measures of Position 3-5 Exploratory Data Analysis 3-6 Summary. Outline . Center: a representative or average value that indicates where the middle of the data set is located

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Data Description

Data Description. Chapter 3 . 3-1 Introduction 3-2 Measures of Central Tendency 3-3 Measures of Variation 3-4 Measures of Position 3-5 Exploratory Data Analysis 3-6 Summary. Outline . Center: a representative or average value that indicates where the middle of the data set is located

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Chapter 3: Frequency Distributions

Chapter 3: Frequency Distributions. In Chapter 3:. 3.1 Stemplots 3.2 Frequency Tables 3.3 Additional Frequency Charts. Start by exploring the data with Exploratory Data Analysis (EDA) A popular univariate EDA technique is the stem-and-leaf plot

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Boundless Lecture Slides

Boundless Lecture Slides. Available on the Boundless Teaching Platform. Free to share, print, make copies and changes. Get yours at www.boundless.com. Using Boundless Presentations. Boundless Teaching Platform

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I Scream, You Scream, We All Scream for Ice Cream!

I Scream, You Scream, We All Scream for Ice Cream!. Sarah Beeson, Jill Hall, Sarah Regan. Cold Stone Creamery. Founded in 1988 in Tempe, Arizona Uses in-store made ice cream that is combined with mix-ins, candy, and other toppings to create a new flavor Open year round

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Lecture 14: Thur., Feb. 26

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Data Quality, Data Cleaning and Treatment of Noisy Data

Data Quality, Data Cleaning and Treatment of Noisy Data. DIMACS Workshop November 3-4, 2003 Organizer: Tamraparni Dasu, AT&T Labs - Research. Workshop. Talks cover different aspects of the complex DQ issue Outstanding set of speakers from academia, industrial labs and industry

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Preliminary Chapter

Statistics : The science of learning from data Chapters 1-4: Tools and strategies for organizing, describing, analyzing data Chapter 5 : How to produce data Chapter 6-9: Probability: The study of chance behavior Chapter 10-15 : Testing Claims/Computing estimates. Preliminary Chapter.

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Managing and Curating Data

Managing and Curating Data. Chapter 8. Introduction. Data organization Data management Data curation Raw data is required to repeat a scientific study Any data supported by public funds is legally required to be available for other scientists and the public. Step 1: Managing Raw Data.

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Exploratory Data Analysis and Multi- variate Strategies

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Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer

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Multivariate Data Exploration with Stata:

Multivariate Data Exploration with Stata:. Evaluation and Wish List. Stephen Soldz Boston Graduate School of Psychoanalysis ssoldz@bgsp.edu. Available in Stata Base ado ( pca ) Built-in ( factor, pcf ) score will produce component scores. Issues/Limitations

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Mother and Child Health: Research Methods

Mother and Child Health: Research Methods. G.J.Ebrahim Editor Journal of Tropical Pediatrics, Oxford University Press . Data Collection and Analysis. Decide what information is required to answer the research question Source of the Information Method of data collection to be used.

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