Author: D. Das & A. Das
Publisher: Academic Publishers
ISBN: 9788187504474
Category :
Languages : en
Pages : 384

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Book Description

Author: James F Frayne
Publisher: Lulu.com
ISBN: 1326606786
Category : Education
Languages : en
Pages : 246

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Book Description
'Mathematics and Statistics in Biology, Psychology and Chemistry' comes as the third in the series, following in the footsteps of 'Easy as You Go!" and 'A-Star Question Bank. It fills the vacuum which exists, being caused by the apparent difficulty in professional Biologist, Psychologist and Chemist to effectively teach the necessary Mathematics for their students to pass examinations. Much of the mathematics and statistics for students' studies is admittedly complex, and often it is laid out in course books in a confusing manner. With the exception of Physicists, scientists can be excused in not being as effective as their counterparts in the Mathematics arena. Considerable effort has therefore been exercised in an attempt to address this situation. In Biology and Psychology sections, tables have been used to simplify many of the otherwise daunting procedures. In Chemistry a 'step-by-step' approach as been adopted.

Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category : Computers
Languages : en
Pages : 617

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Book Description
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

Author: S. K. MANGAL
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120320883
Category : Psychology
Languages : en
Pages : 415

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Book Description
This extensively revised and fully updated second edition is designed as a textbook for M.A. (Education), M.Ed., M.A. (Psychology and Sociology) and for research students pursuing courses in Statistics related to these subjects. It takes into account the present syllabi of various universities and institutes of education across the country. What's New to the Second Edition : Six new chapters added with empha-sis on advanced statistical concepts and techniques such as the following : - Biserial correlation, point biserial correlation, tetrachoric correlation, phi coefficient, partial and multiple correlation. - Transfer of raw scores into standard scores, T, C and Stanine scores. - Non-parametric tests like the McNemar test, Sign test, Wilcoxon test, Median test, U test, Runs test, and KS test. - Analysis of covariance. Some chapters modified and reshuffled to reflect the new emphasis. Entire text thoroughly checked and marked improvements made to bring the topics uptodate.

Author: Melinda C. Mills
Publisher: MIT Press
ISBN: 0262357445
Category : Science
Languages : en
Pages : 433

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Book Description
A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics. Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required. The book first provides foundations for statistical genetic data analysis, including a survey of fundamental concepts, primers on statistics and human evolution, and an introduction to polygenic scores. It then covers the practicalities of working with genetic data, discussing such topics as analytical challenges and data management. Finally, the book presents applications and advanced topics, including polygenic score and gene-environment interaction applications, Mendelian Randomization and instrumental variables, and ethical issues. The software and data used in the book are freely available and can be found on the book's website.

Author: Susan A. Nolan
Publisher: Macmillan
ISBN: 142923265X
Category : Mathematics
Languages : en
Pages : 710

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Book Description
Nolan and Heinzen’s engaging introduction to statistics has captivated students with its easy readability and vivid examples drawn from everyday life. The mathematics of statistical reasoning are made accessible with careful explanations and a helpful three-tier approach to working through exercises: Clarifying the Concepts, Calculating the Statistics, and Applying the Concepts. New pedagogy, end-of-chapter material, and the groundbreaking learning space StatsPortal give students even more tools to help them master statistics than ever before.

Author: Nicole Lazar
Publisher: Springer Science & Business Media
ISBN: 0387781919
Category : Medical
Languages : en
Pages : 302

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Book Description
The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology. The exci- ment of studying the brain is recognized in both the popular press and the scienti?c community. In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements (“If your brain has a ‘buy button,’ what pushes it?”, The New York Times,October19,2004),howviewersrespondtocampaignads(“Using M. R. I. ’s to see politics on the brain,” The New York Times, April 20, 2004; “This is your brain on Hillary: Political neuroscience hits new low,” Wired, November 12,2007),howmen and womenreactto sexualstimulation (“Brain scans arouse researchers,”Wired, April 19, 2004), distinguishing lies from the truth (“Duped,” The New Yorker, July 2, 2007; “Woman convicted of child abuse hopes fMRI can prove her innocence,” Wired, November 5, 2007), and even what separates “cool” people from “nerds” (“If you secretly like Michael Bolton, we’ll know,” Wired, October 2004). Reports on pathologies such as autism, in which neuroimaging plays a large role, are also common (for - stance, a Time magazine cover story from May 6, 2002, entitled “Inside the world of autism”).

Author: Jacob Cohen
Publisher: Routledge
ISBN: 1134742770
Category : Psychology
Languages : en
Pages : 625

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Book Description
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.

Author: SUSAN. HUBER HOLMES (WOLFGANG.)
Publisher: Cambridge University Press
ISBN: 1108427022
Category : Biometry
Languages : en
Pages : 407

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Book Description

Author: Michael H. Herzog
Publisher: Springer
ISBN: 3030034992
Category : Science
Languages : en
Pages : 146

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Book Description
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.