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Statistics without Mathematics

Statistics without Mathematics PDF Author: David J. Bartholomew
Publisher: SAGE
ISBN: 1473934338
Category : Social Science
Languages : en
Pages : 193

Book Description
This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence. Key topics include: Variability Standard Distributions Correlation Relationship Sampling Inference An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for anyone needing a fresh perspective whilst studying the work of others.

Statistics without Mathematics

Statistics without Mathematics PDF Author: David J. Bartholomew
Publisher: SAGE
ISBN: 1473934338
Category : Social Science
Languages : en
Pages : 193

Book Description
This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence. Key topics include: Variability Standard Distributions Correlation Relationship Sampling Inference An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for anyone needing a fresh perspective whilst studying the work of others.

Statistics Without Maths for Psychology

Statistics Without Maths for Psychology PDF Author: Christine P. Dancey
Publisher: Pearson Education
ISBN: 9780131249417
Category : Computers
Languages : en
Pages : 644

Book Description
'Statistics Without Maths for Psychology' provides an accessible description of key statistical concepts and techniques needed by psychology students, avoiding as much maths as possible.

Statistics Without Maths for Psychology

Statistics Without Maths for Psychology PDF Author: Christine P. Dancey
Publisher: Pearson Education
ISBN: 9780132051606
Category : Mathematical statistics
Languages : en
Pages : 652

Book Description
Statistics Without Maths for Psychology is an essential companion to any psychology course, guiding students through the process of using statistics without mathematical formulae. It provides the tools to use SPSS and gives clear but comprehensive explanations of all the statistical concepts needed. This text offers students the opportunity to test their knowledge and practice their skills with activities, exercises and multiple choice questions, and is packed with up-to-date examples, "discussion points" and handy tips to aid them in their studies.

All of Statistics

All of Statistics PDF Author: Larry Wasserman
Publisher: Springer Science & Business Media
ISBN: 0387217363
Category : Mathematics
Languages : en
Pages : 446

Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.

Statistics Without Tears

Statistics Without Tears PDF Author: Derek Rowntree
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 199

Book Description


Probability and Statistics

Probability and Statistics PDF Author: John Tabak
Publisher: Infobase Publishing
ISBN: 0816068739
Category : Electronic books
Languages : en
Pages : 241

Book Description
Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area.

Beginning Statistics with Data Analysis

Beginning Statistics with Data Analysis PDF Author: Frederick Mosteller
Publisher: Courier Corporation
ISBN: 0486782255
Category : Mathematics
Languages : en
Pages : 608

Book Description
This introduction to the world of statistics covers exploratory data analysis, methods for collecting data, formal statistical inference, and techniques of regression and analysis of variance. 1983 edition.

Statistical Testing with Jamovi and JASP Open Source Software

Statistical Testing with Jamovi and JASP Open Source Software PDF Author: Cole Davis
Publisher:
ISBN: 9781916477995
Category : Electronic books
Languages : en
Pages :

Book Description
This book teaches statistics in a cheerful, straightforward manner, cherry-picking from two similar, easy-to-use open source software packages, which are being adopted by universities across the world. Without mathematical formulae, no previous statistical knowledge is assumed. Yet the lucid writing and clear structure takes the reader quickly and logically from beginner to graduate level. All tests come with worked examples from psychology. Tests include t tests, one-way ANOVA, and their non-parametric equivalents; correlations and regression; categorical analyses including binomial, chi square and more; factorial ANOVA; MANOVA; principal components analysis and factor analysis; logistic regression; partial correlations; the Kaplan-Meier curve; an introduction to Bayesian statistics. The book takes a consistent approach to effect sizes, as well as covering data assumptions and confidence intervals. This should appeal to students, academics and practitioners.

Chance, Luck, and Statistics

Chance, Luck, and Statistics PDF Author: Horace C. Levinson
Publisher: Courier Corporation
ISBN: 9780486419978
Category : Mathematics
Languages : en
Pages : 388

Book Description
In simple, non-technical language, this volume explores the fundamentals governing chance and applies them to sports, government, and business. Topics includenbsp;the theory of probability in relation to superstitions, betting odds, warfare,nbsp;social problems, stocks, and other areas. "Clear and lively ...nbsp;remarkably accurate." —Scientific Monthly.

Statistics Without Math

Statistics Without Math PDF Author: William E. Magnusson
Publisher: Sinauer Associates Incorporated
ISBN: 9780878935062
Category : Science
Languages : en
Pages : 136

Book Description
Statistics without Math is not your typical statistics book; nor is it designed to serve as a substitute for conventional statistical texts. Experience with ecology students and researchers has shown that too much mathematical detail diverts attention away from basic logical concepts, resulting in errors in sampling design, data analysis, and comprehension of the ecological literature. Hence, this book starts with real-world observations and explains how statistics may be used as a practical tool to answer questions about them, and to clearly communicate these results. The book targets intermediate-level statistics (given short shrift in most books and courses), and teaches concepts with a minimum of mathematical detail, instead using simple graphs and, where necessary, analogy. This approach, class-tested for many years by the authors, has revolutionized students' ability to understand statistics.