Understanding Statistics and Experimental Design
Understanding Statistics and Experimental Design

Author: Michael H. Herzog

Publisher: Springer

Published: 2019-08-13

Total Pages: 146

ISBN-13: 3030034992

DOWNLOAD EBOOK

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Fundamentals of Statistical Experimental Design and Analysis
Fundamentals of Statistical Experimental Design and Analysis

Author: Robert G. Easterling

Publisher: John Wiley & Sons

Published: 2015-10-23

Total Pages: 272

ISBN-13: 1118954653

DOWNLOAD EBOOK

Professionals in all areas – business; government; thephysical, life, and social sciences; engineering; medicine, etc.– benefit from using statistical experimental design tobetter understand their worlds and then use that understanding toimprove the products, processes, and programs they are responsiblefor. This book aims to provide the practitioners of tomorrow with amemorable, easy to read, engaging guide to statistics andexperimental design. This book uses examples, drawn from a variety of established texts,and embeds them in a business or scientific context, seasoned witha dash of humor, to emphasize the issues and ideas that led to theexperiment and the what-do-we-do-next? steps after theexperiment. Graphical data displays are emphasized as means ofdiscovery and communication and formulas are minimized, with afocus on interpreting the results that software produce. The roleof subject-matter knowledge, and passion, is also illustrated. Theexamples do not require specialized knowledge, and the lessons theycontain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysisintroduces the basic elements of an experimental design, and thebasic concepts underlying statistical analyses. Subsequent chaptersaddress the following families of experimental designs: Completely Randomized designs, with single or multipletreatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book issuitable for a general audience and particularly for thoseprofessionals seeking to improve and apply their understanding ofexperimental design.

Understanding Statistics and Experimental Design
Understanding Statistics and Experimental Design

Author: Michael H. Herzog

Publisher:

Published: 2019

Total Pages: 142

ISBN-13: 9783030035006

DOWNLOAD EBOOK

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Experimental Design and Analysis
Experimental Design and Analysis

Author: Steven R. Brown

Publisher: SAGE

Published: 1990

Total Pages: 102

ISBN-13: 9780803938540

DOWNLOAD EBOOK

Experimental design is one of the most fundamental topics in social science statistics. This book introduces the reader to the elements of experimental design and analysis through careful explanations of the procedures as well as through illustrations using actual examples.

Experimental Design in Biotechnology
Experimental Design in Biotechnology

Author: Perry D. Haaland

Publisher: CRC Press

Published: 2020-11-25

Total Pages: 284

ISBN-13: 1000103706

DOWNLOAD EBOOK

This book provides the first time user of statistics with an understanding of how and why statistical experimental design and analysis can be an effective problem solving tool. It presents experimental designs which are useful for small screening and response surface experiments.

Statistical Design
Statistical Design

Author: George Casella

Publisher: Springer Science & Business Media

Published: 2008-04-03

Total Pages: 325

ISBN-13: 0387759646

DOWNLOAD EBOOK

Statistical design is one of the fundamentals of our subject, being at the core of the growth of statistics during the previous century. In this book the basic theoretical underpinnings are covered. It describes the principles that drive good designs and good statistics. Design played a key role in agricultural statistics and set down principles of good practice, principles that still apply today. Statistical design is all about understanding where the variance comes from, and making sure that is where the replication is. Indeed, it is probably correct to say that these principles are even more important today.

Practical Statistics and Experimental Design for Plant and Crop Science
Practical Statistics and Experimental Design for Plant and Crop Science

Author: Alan G. Clewer

Publisher: John Wiley & Sons

Published: 2013-06-17

Total Pages: 315

ISBN-13: 1118685660

DOWNLOAD EBOOK

Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (MINITAB, GENSTAT and SAS) * Exercises at the end of many chapters * Advice on presenting results and report writing Written by experienced lecturers, this text will be invaluable toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.

Statistics And Experimental Design For Psychologists: A Model Comparison Approach
Statistics And Experimental Design For Psychologists: A Model Comparison Approach

Author: Rory Allen

Publisher: World Scientific Publishing Company

Published: 2017-08-28

Total Pages: 471

ISBN-13: 1786340674

DOWNLOAD EBOOK

This is the first textbook for psychologists which combines the model comparison method in statistics with a hands-on guide to computer-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set of cookbook recipes which must be learned by heart. Model comparison, by contrast, provides a mental roadmap that not only gives a deeper level of understanding, but can be used as a general procedure to tackle those problems which can be solved using orthodox statistical methods.Statistics and Experimental Design for Psychologists focusses on the role of Occam's principle, and explains significance testing as a means by which the null and experimental hypotheses are compared using the twin criteria of parsimony and accuracy. This approach is backed up with a strong visual element, including for the first time a clear illustration of what the F-ratio actually does, and why it is so ubiquitous in statistical testing.The book covers the main statistical methods up to multifactorial and repeated measures, ANOVA and the basic experimental designs associated with them. The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts demonstrating the use of programs on a standard statistical package, SPSS.Of particular value to third year undergraduate as well as graduate students, this book will also have a broad appeal to anyone wanting a deeper understanding of the scientific method.

Statistical Analysis of Designed Experiments
Statistical Analysis of Designed Experiments

Author: Helge Toutenburg

Publisher: Springer Science & Business Media

Published: 2006-05-09

Total Pages: 507

ISBN-13: 0387227725

DOWNLOAD EBOOK

Unique in commencing with relatively simple statistical concepts and ideas found in most introductory statistical textbooks, this book goes on to cover more material useful for undergraduates and graduate in statistics and biostatistics.