Understanding Statistics And Experimental Design PDF Download
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Author | : Michael H. Herzog |
Publisher | : Springer |
Total Pages | : 146 |
Release | : 2019-08-13 |
Genre | : Science |
ISBN | : 3030034992 |
Download Understanding Statistics and Experimental Design Book in PDF, ePub and Kindle
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.
Author | : Michael H. Herzog |
Publisher | : |
Total Pages | : 142 |
Release | : 2019 |
Genre | : Electronic books |
ISBN | : 9783030035006 |
Download Understanding Statistics and Experimental Design Book in PDF, ePub and Kindle
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.
Author | : Irwin P. Levin |
Publisher | : SAGE |
Total Pages | : 108 |
Release | : 1999-02 |
Genre | : Medical |
ISBN | : 9780761914723 |
Download Relating Statistics and Experimental Design Book in PDF, ePub and Kindle
This handy guide gives the novice researcher a clear description of the standard tools of the trade. Unlike some texts which focus on either design or statistics, this book covers the fundamentals of design, together with experiments and observational methods. There is an exposition of major tests of significance with formulas plus easy verbal interpretations, and "boxes" embedded in the text contain prototypic applications.
Author | : Robert G. Easterling |
Publisher | : John Wiley & Sons |
Total Pages | : 272 |
Release | : 2015-10-23 |
Genre | : Mathematics |
ISBN | : 1118954653 |
Download Fundamentals of Statistical Experimental Design and Analysis Book in PDF, ePub and Kindle
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.
Author | : Klaus Hinkelmann |
Publisher | : John Wiley & Sons |
Total Pages | : 528 |
Release | : 1994-03-22 |
Genre | : Mathematics |
ISBN | : 9780471551782 |
Download Design and Analysis of Experiments, Introduction to Experimental Design Book in PDF, ePub and Kindle
Design and analysis of experiments/Hinkelmann.-v.1.
Author | : Helge Toutenburg |
Publisher | : Springer Science & Business Media |
Total Pages | : 507 |
Release | : 2006-05-09 |
Genre | : Mathematics |
ISBN | : 0387227725 |
Download Statistical Analysis of Designed Experiments Book in PDF, ePub and Kindle
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.
Author | : Perry D. Haaland |
Publisher | : CRC Press |
Total Pages | : 284 |
Release | : 2020-11-25 |
Genre | : Mathematics |
ISBN | : 1000103706 |
Download Experimental Design in Biotechnology Book in PDF, ePub and Kindle
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.
Author | : Steve Miller |
Publisher | : Routledge |
Total Pages | : 158 |
Release | : 2005-07-25 |
Genre | : Psychology |
ISBN | : 1134954638 |
Download Experimental Design and Statistics Book in PDF, ePub and Kindle
For this second edition, this best-selling textbook has been revised, the coverage of two-sample tests extended, and new sections added introducing one-sample tests, linear regression, and the product-moment correlation coefficient.
Author | : Benjamin James Winer |
Publisher | : |
Total Pages | : 682 |
Release | : 2012-03-01 |
Genre | : |
ISBN | : 9781258267223 |
Download Statistical Principles in Experimental Design Book in PDF, ePub and Kindle
Author | : Rory Allen |
Publisher | : World Scientific Publishing Company |
Total Pages | : 472 |
Release | : 2017-08-28 |
Genre | : Psychology |
ISBN | : 1786340674 |
Download Statistics and Experimental Design for Psychologists Book in PDF, ePub and Kindle
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. Contents: What is Science?Comparing Different Models of a Set of DataTesting Hypotheses and Recording the Result: Types of ValidityBasic Descriptive Statistics (and How Pierre Laplace Saved the World)Bacon's Legacy: Causal Models, and How to Test ThemHow Hypothesis Testing Copes with Uncertainty: The Legacy of Karl Popper and Ronald FisherGaussian Distributions, the Building Block of Parametric StatisticsRandomized Controlled Trials, the Model T Ford of ExperimentsThe Independent Samples t-Test, the Analytical Engine of the RCTGeneralising the t-Test: One-Way ANOVAMultifactorial Designs and Their ANOVA CounterpartsRepeated Measures Designs, and Their ANOVA CounterpartsAppendices:On Finding the Right Effect SizeWhy Orthogonal Contrasts are UsefulMathematical Justification for the Occam LineGlossaryFurther ReadingReferencesIndex Readership: Students of undergraduate and graduate level psychology, and academics involved in research.