Statistics in Biology & Psychology
Author: D. Das & A. Das
Publisher: Academic Publishers
Published: 1980
Total Pages: 384
ISBN-13: 9788187504474
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Mathematics & Statistics (Biology, Psychology & Chemistry)
Author: James F Frayne
Publisher: Lulu.com
Published: 2017-03-12
Total Pages: 246
ISBN-13: 1326606786
DOWNLOAD EBOOK'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.
STATISTICS IN PSYCHOLOHY AND EDUCATION
Author: S. K. MANGAL
Publisher: PHI Learning Pvt. Ltd.
Published: 2002-01-01
Total Pages: 415
ISBN-13: 8120320883
DOWNLOAD EBOOKThis 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.
Learning Statistics with R
Author: Daniel Navarro
Publisher: Lulu.com
Published: 2013-01-13
Total Pages: 617
ISBN-13: 1326189727
DOWNLOAD EBOOK"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
Statistical Power Analysis for the Behavioral Sciences
Author: Jacob Cohen
Publisher: Routledge
Published: 2013-05-13
Total Pages: 625
ISBN-13: 1134742770
DOWNLOAD EBOOKStatistical 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.
An Introduction to Statistical Genetic Data Analysis
Author: Melinda C. Mills
Publisher: MIT Press
Published: 2020-02-18
Total Pages: 433
ISBN-13: 0262357445
DOWNLOAD EBOOKA 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.
Statistical Methods for Psychology
Author: David C. Howell
Publisher: Wadsworth Publishing Company
Published: 2013
Total Pages: 770
ISBN-13: 9781111840853
DOWNLOAD EBOOKSTATISTICAL METHODS FOR PSYCHOLOGY, 8E, International Edition surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics—reflecting the evolving realm of statistical methods—include effect size, meta-analysis, and treatment of missing data.
The Statistical Analysis of Functional MRI Data
Author: Nicole Lazar
Publisher: Springer Science & Business Media
Published: 2008-06-10
Total Pages: 302
ISBN-13: 0387781919
DOWNLOAD EBOOKThe 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”).
Modern Statistics for Modern Biology
Author: SUSAN. HUBER HOLMES (WOLFGANG.)
Publisher: Cambridge University Press
Published: 2018
Total Pages: 407
ISBN-13: 1108427022
DOWNLOAD EBOOKChoosing and Using Statistics
Author: Calvin Dytham
Publisher: John Wiley & Sons
Published: 2011-01-04
Total Pages: 323
ISBN-13: 1405198389
DOWNLOAD EBOOKChoosing and Using Statistics remains an invaluable guide for students using a computer package to analyse data from research projects and practical class work. The text takes a pragmatic approach to statistics with a strong focus on what is actually needed. There are chapters giving useful advice on the basics of statistics and guidance on the presentation of data. The book is built around a key to selecting the correct statistical test and then gives clear guidance on how to carry out the test and interpret the output from four commonly used computer packages: SPSS, Minitab, Excel, and (new to this edition) the free program, R. Only the basics of formal statistics are described and the emphasis is on jargon-free English but any unfamiliar words can be looked up in the extensive glossary. This new 3rd edition of Choosing and Using Statistics is a must for all students who use a computer package to apply statistics in practical and project work. Features new to this edition: Now features information on using the popular free program, R Uses a simple key and flow chart to help you choose the right statistical test Aimed at students using statistics for projects and in practical classes Includes an extensive glossary and key to symbols to explain any statistical jargon No previous knowledge of statistics is assumed
