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Statistics Without Math


Statistics Without Math
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Statistics Without Maths For Psychology


Statistics Without Maths For Psychology
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Author : Christine P. Dancey
language : en
Publisher:
Release Date : 1999

Statistics Without Maths For Psychology written by Christine P. Dancey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Mathematical statistics categories.


Written for those students who have graduated without A-level maths, this textbook on statistics for psychology takes a learning by doing approach where practice exercises and multiple choice questions enable students to test their knowledge and skills. The authors explain how to perform the tests by using SPSS. Examples of how to write up results give students guidance on effective report writing.



Statistics Without Math


Statistics Without Math
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Author : William E. Magnusson
language : en
Publisher: Sinauer Associates Incorporated
Release Date : 2004

Statistics Without Math written by William E. Magnusson and has been published by Sinauer Associates Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Science categories.


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.



Statistics Without Mathematics


Statistics Without Mathematics
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Author : David J. Bartholomew
language : en
Publisher: SAGE
Release Date : 2015-10-19

Statistics Without Mathematics written by David J. Bartholomew and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-19 with Social Science categories.


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
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Author : Christine P. Dancey
language : en
Publisher: Prentice Hall Pearson Education
Release Date : 2011

Statistics Without Maths For Psychology written by Christine P. Dancey and has been published by Prentice Hall Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.


Statistics Without Maths for Psychology guides you through statistical processes in a clear, engaging and straightforward way - without using intimidating mathematical formulae. This new 5th edition covers all the statistical procedures you will need and also gives guidance on using SPSS . Activities and questions throughout enable you to test your learning and deepen your understanding in a practical, manageable way. Comprehensive, clearly written and packed with examples, this rigorous guide will enable you to get to grips with statistics and avoid feeling like a fish out of water.



All Of Statistics


All Of Statistics
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Author : Larry Wasserman
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-11

All Of Statistics written by Larry Wasserman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-11 with Mathematics categories.


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 Maths For Psychology


Statistics Without Maths For Psychology
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Author : Christine Dancey
language : en
Publisher: Pearson Higher Ed
Release Date : 2014-09-30

Statistics Without Maths For Psychology written by Christine Dancey and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-30 with Psychology categories.


For students who need to understand and use statistics but find the mathematical formulae daunting, Statistics without Maths for Psychology is the ideal guide. The clear, straightforward style and step-by-step SPSS walkthroughs take you through all the statistical procedures you will need. Activities and questions enable you to test your learning and increase your understanding in a practical, manageable way. Statistics without Maths for Psychology can also be packaged with MyResearchLab, an online resource covering key qualitative and quantitative research topics, packed with interactive digital learning tools, testing facilities and robust feedback for both students and teachers. To find out more about this exciting and powerful new resource or to request your free trial access, please contact your Pearson representative. Students: You need both an access card and a course ID to access MyResearchLab. 1. Is your lecturer using MyResearchLab? Ask your lecturer for your course ID. 2. If you have a course ID but no access code, please go to www.myresearchlab.co.uk to buy access to this interactive online study resource.



Basic Psychological Measurement Research Designs And Statistics Without Math


Basic Psychological Measurement Research Designs And Statistics Without Math
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Author : Marty Sapp
language : en
Publisher: Charles C Thomas Publisher
Release Date : 2006

Basic Psychological Measurement Research Designs And Statistics Without Math written by Marty Sapp and has been published by Charles C Thomas Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Psychology categories.




Essential Statistics


Essential Statistics
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Author : David S. Moore
language : en
Publisher: W. H. Freeman
Release Date : 2010

Essential Statistics written by David S. Moore and has been published by W. H. Freeman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematical statistics categories.


W.H. Freeman is excited to be publishing a new text by David Moore: Essential Statistics. David Moore's considerable experience as a statistician and instructor, and his commitment to producing high-quality, innovative introductory statistics textbooks motivated him to create Essential Statistics. The text offers the same highly successful approach and pedagogy of David Moore's bestselling The Basic Practice of Statistics (BPS), Fifth Edition, but in a briefer, more concise format. Through careful rewriting, he has shortened and simplified explanations, to better highlight the key, essential, statistical ideas and methods students need to know. The text is based on three principles: balanced content, the importance of ideas, and experience with data. Using a "just the basics" approach, the text clarifies and simplifies important concepts and methods, while engaging students with contemporary, realistic examples. Throughout the book, exercises help students check and apply their skills. A four-step problem-solving process in examples and exercises encourage good habits that go beyond graphs and calculations to ask, "What do the data tell me?" Essential Statistics is what its name suggests: a basic introduction to statistical ideas and methods that aims to equip students to carry out common statistical procedures and to follow statistical reasoning in their fields of study and in their future employment.



Mathematical Methods Of Statistics


Mathematical Methods Of Statistics
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Author : Harald Cramér
language : en
Publisher: Princeton University Press
Release Date : 1999-04-12

Mathematical Methods Of Statistics written by Harald Cramér and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-04-12 with Mathematics categories.


In this classic of statistical mathematical theory, Harald Cram r joins the two major lines of development in the field: while British and American statisticians were developing the science of statistical inference, French and Russian probabilitists transformed the classical calculus of probability into a rigorous and pure mathematical theory. The result of Cram r's work is a masterly exposition of the mathematical methods of modern statistics that set the standard that others have since sought to follow. For anyone with a working knowledge of undergraduate mathematics the book is self contained. The first part is an introduction to the fundamental concept of a distribution and of integration with respect to a distribution. The second part contains the general theory of random variables and probability distributions while the third is devoted to the theory of sampling, statistical estimation, and tests of significance.



Numsense Data Science For The Layman


Numsense Data Science For The Layman
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Author : Annalyn Ng
language : en
Publisher: Annalyn Ng & Kenneth Soo
Release Date : 2017-03-24

Numsense Data Science For The Layman written by Annalyn Ng and has been published by Annalyn Ng & Kenneth Soo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-24 with categories.


Used in Stanford's CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations, as well as lots of visuals, all of which are colorblind-friendly. Popular concepts covered include: A/B Testing Anomaly Detection Association Rules Clustering Decision Trees and Random Forests Regression Analysis Social Network Analysis Neural Networks Features: Intuitive explanations and visuals Real-world applications to illustrate each algorithm Point summaries at the end of each chapter Reference sheets comparing the pros and cons of algorithms Glossary list of commonly-used terms With this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.