A Concise Guide To Statistical Analyses Using Excel Spss And The Ti 84 Calculator Spiral Bound Version
Download A Concise Guide To Statistical Analyses Using Excel Spss And The Ti 84 Calculator Spiral Bound Version full books in PDF, epub, and Kindle. Read online free A Concise Guide To Statistical Analyses Using Excel Spss And The Ti 84 Calculator Spiral Bound Version ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : Sherri L. Jackson |
Publisher | : Cengage Learning |
Total Pages | : 208 |
Release | : 2012-05-25 |
Genre | : Education |
ISBN | : 9781133315537 |
A CONCISE GUIDE TO STATISTICAL ANALYSES USING EXCEL, SPSS, AND THE T1-84 CALCULATOR, First Edition, is precisely what its title conveys--a brief, simple-to-understand introduction to analyzing data using Excel, SPSS, and the TI-84 calculator. The text progresses from descriptive statistics and how to create various types of graphs (i.e., bar graphs, histograms, and frequency polygons) to coverage of both parametric and nonparametric inferential statistics. The book also covers single sample z and t tests, two-group t tests, one- and two-way ANOVAs, Wilcoxon tests, chi-square tests, and correlation and regression analyses. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author | : Anol Bhattacherjee |
Publisher | : CreateSpace |
Total Pages | : 156 |
Release | : 2012-04-01 |
Genre | : Science |
ISBN | : 9781475146127 |
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Author | : Johnny Saldana |
Publisher | : SAGE |
Total Pages | : 282 |
Release | : 2009-02-19 |
Genre | : Reference |
ISBN | : 1446200124 |
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.
Author | : Sherri L. Jackson |
Publisher | : Cengage Learning |
Total Pages | : 0 |
Release | : 2016-01-01 |
Genre | : Education |
ISBN | : 9781305638907 |
Sherri Jackson's straightforward, conversational introduction to statistics presents just what its title promises -- a plain and simple overview of statistics that is clear, concise, and sparing in its use of jargon. Ideal for behavioral sciences majors, STATISTICS PLAIN AND SIMPLE, Fourth Edition, is designed to build students' confidence in understanding, calculating, and interpreting statistics. It instills a strong awareness of the interaction between statistical methods and research methods. It also helps students develop a solid working knowledge of basic statistical cautions in research design, a strong understanding of the concept of significance, and the critical thinking skills necessary to apply these ideas. A modular format presents the material in brief segments that make concepts manageable. Jackson shows why each statistical technique is necessary before explaining it, and skillfully uses narrative to connect one module to the next. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author | : Alan Agresti |
Publisher | : John Wiley & Sons |
Total Pages | : 393 |
Release | : 2018-10-11 |
Genre | : Mathematics |
ISBN | : 1119405270 |
A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.
Author | : Scott Stevens |
Publisher | : |
Total Pages | : 250 |
Release | : 2012 |
Genre | : Mathematical statistics |
ISBN | : 9780984207176 |
Author | : Darci J. Harland |
Publisher | : NSTA Press |
Total Pages | : 249 |
Release | : 2011 |
Genre | : Science |
ISBN | : 1936137410 |
A comprehensive resource for high school teachers and students, STEM Student Research Handbook outlines the various stages of large- scale research projects, enabling teachers to coach their students through the research process.
Author | : Sharon L. Lohr |
Publisher | : CRC Press |
Total Pages | : 611 |
Release | : 2019-04-08 |
Genre | : Mathematics |
ISBN | : 1000022080 |
This edition is a reprint of the second edition published by Cengage Learning, Inc. Reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? Sampling: Design and Analysis tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include: More than 450 exercises. In each chapter, Introductory Exercises develop skills, Working with Data Exercises give practice with data from surveys, Working with Theory Exercises allow students to investigate statistical properties of estimators, and Projects and Activities Exercises integrate concepts. A solutions manual is available. An emphasis on survey design. Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis. Graphing data from surveys. Computer code using SAS® software. Online supplements containing data sets, computer programs, and additional material. Sharon Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com.
Author | : Margrit Schreier |
Publisher | : SAGE |
Total Pages | : 283 |
Release | : 2012-02-21 |
Genre | : Reference |
ISBN | : 1446258750 |
Qualitative content analysis is a powerful method for analyzing large amounts of qualitative data collected through interviews or focus groups. It is frequently employed by students, but introductory textbooks on content analysis have largely focused on the quantitative version of the method. In one of the first to focus on qualitative content analysis, Margrit Schreier takes students step-by step through: - creating a coding frame - segmenting the material - trying out the coding frame - evaluating the trial coding - carrying out the main coding - what comes after qualitative content analysis - making use of software when conducting qualitative content analysis. Each part of the process is described in detail and research examples are provided to illustrate each step. Frequently asked questions are answered, the most important points are summarized, and end of chapter questions provide an opportunity to revise these points. After reading the book, students are fully equiped to conduct their own qualitative content analysis. Designed for upper level undergraduate, MA, PhD students and researchers across the social sciences, this is essential reading for all those who want to use qualitative content analysis.
Author | : Paul C. Cozby |
Publisher | : WCB/McGraw-Hill |
Total Pages | : 300 |
Release | : 1989 |
Genre | : Psychology |
ISBN | : |
For undergradute social science majors. A textbook on the interpretation and use of research. Annotation copyright Book News, Inc. Portland, Or.