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Elementary Concepts in Statistics

Elementary Concepts in Statistics
In this introduction, we will briefly discuss those elementary statistical concepts that provide the necessary foundations for more specialized expertise in any area of statistical data analysis. The selected topics illustrate the basic assumptions of most statistical methods and/or have been demonstrated in research to be necessary components of our general understanding of the "quantitative nature" of reality (Nisbett, et al., 1987). We will focus mostly on the functional aspects of the concepts discussed and the presentation will be very short. What are Variables? Variables are things that we measure, control, or manipulate in research. Correlational vs. Most empirical research belongs clearly to one of these two general categories. Dependent vs. Independent variables are those that are manipulated whereas dependent variables are only measured or registered. Measurement Scales Nominal variables allow for only qualitative classification. Relations between Variables .005 or p Related:  math and physics

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Einstein for Everyone - StumbleUpon Einstein for Everyone Nullarbor Press 2007revisions 2008, 2010, 2011, 2012, 2013 Copyright 2007, 2008, 2010, 2011, 2012, 2013 John D. Norton Published by Nullarbor Press, 500 Fifth Avenue, Pittsburgh, Pennsylvania 15260 with offices in Liberty Ave., Pittsburgh, Pennsylvania, 15222 All Rights Reserved John D. An advanced sequel is planned in this series:Einstein for Almost Everyone 2 4 6 8 9 7 5 3 1 ePrinted in the United States of America no trees were harmed web*bookTM This book is a continuing work in progress. January 1, 2015. Preface For over a decade I have taught an introductory, undergraduate class, "Einstein for Everyone," at the University of Pittsburgh to anyone interested enough to walk through door. With each new offering of the course, I had the chance to find out what content worked and which of my ever so clever pedagogical inventions were failures. At the same time, my lecture notes have evolved. This text owes a lot to many. i i i

SPSS, Tutorial, deutsch, Literatur zu SPSS, Tutorials, Dialogfelder, Dialogfeld, Flash Tutorial, Statistik, FU, Berlin, Informationen zu SPSS-Lizenzen SPSS-Tutorials (deutsch) Übersicht zu den vorhandenen Flash-Animationen Datenzugang: Aufbau einer Datendatei Datenimport über die ODBC-Schnittstelle Datenaufbereitung: Berechnen von Informationen Klassifizieren von Variablen über Umkodieren Umkodieren von Variablen Selektieren I - Vergleichsoperatoren Selektieren II - logische Operatoren Selektieren III - komplexe Bedingungen Datenanalyse: Deskriptive Statistik Testen I - Testen auf Unterschiede (t-Test unabh. Stichproben - U-Test) Testen II - Testen auf Unterschiede (t-Test abh. Zum effektiven Umgang mit dem Programm: Editieren von Tabellen im Ausgabefenster Verwendung von Syntaxanweisungen Verwendung von Syntaxanweisungen - erweiterte Version SPSS und R - Installation und Nutzung SPSS und R mit Grafik - Demonstration der Anwendung Verwendung von Makros Verwendung von Skripten Datenzugang Tutorial zum Aufbau einer Datendatei (Flash-Animation) Tutorial zum Datenimport über die ODBC-Schnittstelle (Flash-Animation) Datenaufbereitung Testen

Against All Odds: Inside Statistics 1. What Is Statistics? Statistics is the art and science of gathering, organizing, analyzing and drawing conclusions from data. And without rudimentary knowledge of how it works, people can't make informed judgments and evaluations of a wide variety of things encountered in daily life. Go to this unit. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32.

StatNotes: Topics in Multivariate Analysis, from North Carolina State University Looking for Statnotes? StatNotes, viewed by millions of visitors for the last decade, has now been converted to e-books in Adobe Reader and Kindle Reader format, under the auspices of Statistical Associates Publishers. The e-book format serves many purposes: readers may cite sources by title, publisher, year, and (in Adobe Reader format) page number; e-books may be downloaded to PCs, Ipads, smartphones, and other devices for reference convenience; and intellectual property is protected against piracy, which had become epidemic. Click here to go to the new Statnotes website at . Or you may use the Google search box below to search the website, which contains free e-books and web pages with overview summaries and tables of contents. Or you may click on a specific topic below to view the specific overview/table of contents page.

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Pauls Online Math Notes Using SPSS for Nominal Data (Binomial and Chi-Squared Tests) Using SPSS for Nominal Data:Binomial and Chi-Squared Tests This tutorial will show you how to use SPSS version 12.0 to perform binomial tests, Chi-squared test with one variable, and Chi-squared test of independence of categorical variables on nominally scaled data. This tutorial assumes that you have: Downloaded the standard class data set (click on the link and save the data file) Started SPSS (click on Start | All Programs | SPSS for Windows | SPSS 12.0 for Windows) Loaded the standard data set Binomial Test The binomial test is useful for determining if the proportion of people in one of two categories is different from a specified amount. SPSS assumes that the variable that specifies the category is numeric. As always, we will perform the basic steps in hypothesis testing: Write the hypotheses: H0: P = .5 H1: P ≠ .5 Where P is the proportion of people who selected cats.Determine if the hypotheses are one- or two-tailed. The output tells us that there are two groups: DOG and CAT.

HyperStat Online: An Introductory Statistics Textbook and Online Tutorial for Help in Statistics Courses Recommend HyperStat to your friends on Facebook Click here for more cartoons by Ben Shabad. Other Sources Stat Primer by Bud Gerstman of San Jose State University Statistical forecasting notes by Robert Nau of Duke University related: RegressIt Excel add-in by Robert Nau CADDIS Volume 4: Data Analysis (EPA) The little handbook of statistical practice by Gerard E. Stat Trek Tutorial Statistics at square 1 by T. Concepts and applications of inferential statistics by Richard Lowry of Vassar College CAST by W. SticiGui by P. SurfStat by Keith Dear of the University of Newcastle. Introductory statistics: Concepts, models, and applications by David W. Multivariate statistics: Concepts, models, and applications by David W. Electronic textbook by StatSoft A new view of statistics by Will Hopkins of the University of Otago The knowledge base: An online research methods textbook by William M.

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