Practice Of Statistics In The Life Sciences

Practice Of Statistics In The Life Sciences Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Practice Of Statistics In The Life Sciences book. This book definitely worth reading, it is an incredibly well-written.

Practice of Statistics in the Life Sciences

Author : David S. Moore,Brigitte Baldi
Publisher : WH Freeman
Page : 0 pages
File Size : 48,6 Mb
Release : 2017-12-15
Category : Mathematics
ISBN : 1319013376

Get Book

Practice of Statistics in the Life Sciences by David S. Moore,Brigitte Baldi Pdf

The Practice of Statistics in the Life Sciences gives biology students an introduction to statistical practice all their own. It covers essential statistical topics with examples and exercises drawn from across the life sciences, including the fields of nursing, public health, and allied health. Based on David Moore’s The Basic Practice of Statistics, PSLS mirrors that #1 bestseller’s signature emphasis on statistical thinking, real data, and what statisticians actually do -- Provided by the publisher.

The Practice of Statistics in the Life Sciences

Author : Brigitte Baldi,David S. Moore
Publisher : WH Freeman
Page : 0 pages
File Size : 47,6 Mb
Release : 2013-12-27
Category : Mathematics
ISBN : 1464175365

Get Book

The Practice of Statistics in the Life Sciences by Brigitte Baldi,David S. Moore Pdf

This remarkably engaging textbook is the perfect learning resource for undergraduate and postgraduate biology students studying statistics and data analysis. Part of the best-selling Moore family of statistics books, it covers essential statistical topics with examples and exercises drawn from across the field of life sciences, including disciplines such as nursing, public health, and allied health. Based on David Moore’s classic The Basic Practice of Statistics, this textbook applies the bestseller’s signature emphasis on statistical thinking, real data and what statisticians actually do, to the world of life sciences, helping engage students and underlining how statistics can directly apply to the projects they’re working on. The new edition includes new and updated exercises, examples, and samples of real data, as well as an expanded range of media tools for students and instructors. This textbook is also available on LaunchPad.

Data Analysis for the Life Sciences with R

Author : Rafael A. Irizarry,Michael I. Love
Publisher : CRC Press
Page : 461 pages
File Size : 50,5 Mb
Release : 2016-10-04
Category : Mathematics
ISBN : 9781498775861

Get Book

Data Analysis for the Life Sciences with R by Rafael A. Irizarry,Michael I. Love Pdf

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Statistics for the Life Sciences

Author : Myra L. Samuels,Jeffrey A. Witmer,Andrew Schaffner
Publisher : Unknown
Page : 0 pages
File Size : 54,8 Mb
Release : 2012
Category : Agriculture
ISBN : 0321652800

Get Book

Statistics for the Life Sciences by Myra L. Samuels,Jeffrey A. Witmer,Andrew Schaffner Pdf

Statistics for the Life Sciences, Fourth Edition, is the perfect book for introductory statistics classes, covering the key concepts of statistics as applied to the life sciences, while incorporating the tools and themes of modern data analysis. This text uses an abundance of real data in the exercises and examples to minimize computation, so that students can focus on the statistical concepts and issues, not the mathematics. Basic algebra is assumed as a prerequisite. ¿ This latest edition is also available as an enhanced Pearson eText. This exciting new version features an embedded versio.

The Basic Practice of Statistics

Author : David S. Moore
Publisher : Palgrave Macmillan
Page : 975 pages
File Size : 51,9 Mb
Release : 2010
Category : Mathematics
ISBN : 9781429224260

Get Book

The Basic Practice of Statistics by David S. Moore Pdf

This is a clear and innovative overview of statistics which emphasises major ideas, essential skills and real-life data. The organisation and design has been improved for the fifth edition, coverage of engaging, real-world topics has been increased and content has been updated to appeal to today's trends and research.

The Practice of Statistics in the Life Sciences

Author : Brigitte Baldi,David S. Moore
Publisher : W. H. Freeman
Page : 798 pages
File Size : 47,5 Mb
Release : 2009
Category : Biomathematics
ISBN : STANFORD:36105131799608

Get Book

The Practice of Statistics in the Life Sciences by Brigitte Baldi,David S. Moore Pdf

Exploring data -- From exploratioin to inference -- Inference about variables -- Optional companion chapters.

Statistics Done Wrong

Author : Alex Reinhart
Publisher : No Starch Press
Page : 177 pages
File Size : 51,6 Mb
Release : 2015-03-01
Category : Mathematics
ISBN : 9781593276201

Get Book

Statistics Done Wrong by Alex Reinhart Pdf

Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.

Practical Statistics for Data Scientists

Author : Peter Bruce,Andrew Bruce
Publisher : "O'Reilly Media, Inc."
Page : 395 pages
File Size : 50,9 Mb
Release : 2017-05-10
Category : Computers
ISBN : 9781491952917

Get Book

Practical Statistics for Data Scientists by Peter Bruce,Andrew Bruce Pdf

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Statistics for Data Scientists

Author : Maurits Kaptein,Edwin van den Heuvel
Publisher : Springer Nature
Page : 342 pages
File Size : 46,9 Mb
Release : 2022-02-02
Category : Computers
ISBN : 9783030105310

Get Book

Statistics for Data Scientists by Maurits Kaptein,Edwin van den Heuvel Pdf

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by numerous real data examples and reusable [R] code – with a rigorous treatment of probability and statistical principles. Where contemporary undergraduate textbooks in probability theory or statistics often miss applications and an introductory treatment of modern methods (bootstrapping, Bayes, etc.), and where applied data analysis books often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical methods combining the two viewpoints. The book further focuses on methods for dealing with large data-sets and streaming-data and hence provides a single-course introduction of statistical methods for data science.

Statistical Power Analysis for the Behavioral Sciences

Author : Jacob Cohen
Publisher : Routledge
Page : 625 pages
File Size : 55,6 Mb
Release : 2013-05-13
Category : Psychology
ISBN : 9781134742776

Get Book

Statistical Power Analysis for the Behavioral Sciences by Jacob Cohen Pdf

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.

Statistical Methods in Biology

Author : S.J. Welham,S.A. Gezan,S.J. Clark,A. Mead
Publisher : CRC Press
Page : 592 pages
File Size : 52,9 Mb
Release : 2014-08-22
Category : Mathematics
ISBN : 9781439898055

Get Book

Statistical Methods in Biology by S.J. Welham,S.A. Gezan,S.J. Clark,A. Mead Pdf

Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural scien

Introductory Statistics for the Life and Biomedical Sciences

Author : Julie Vu,David Harrington
Publisher : Unknown
Page : 128 pages
File Size : 50,9 Mb
Release : 2020-03
Category : Electronic
ISBN : 1943450110

Get Book

Introductory Statistics for the Life and Biomedical Sciences by Julie Vu,David Harrington Pdf

Introduction to Statistics for the Life and Biomedical Sciences has been written to be used in conjunction with a set of self-paced learning labs. These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language.The text discusses the important ideas used to support an interpretation (such as the notion of a confidence interval), rather than the process of generating such material from data (such as computing a confidence interval for a particular subset of individuals in a study). This allows students whose main focus is understanding statistical concepts to not be distracted by the details of a particular software package. In our experience, however, we have found that many students enter a research setting after only a single course in statistics. These students benefit from a practical introduction to data analysis that incorporates the use of a statistical computing language.In a classroom setting, we have found it beneficial for students to start working through the labs after having been exposed to the corresponding material in the text, either from self-reading or through an instructor presenting the main ideas. The labs are organized by chapter, and each lab corresponds to a particular section or set of sections in the text.There are traditional exercises at the end of each chapter that do not require the use of computing. In the current posting, Chapters 1 - 5 have end-of-chapter exercises. More complicated methods, such as multiple regression, do not lend themselves to hand calculation and computing is necessary for gaining practical experience with these methods. The lab exercises for these later chapters become an increasingly important part of mastering the material.An essential component of the learning labs are the "Lab Notes" accompanying each chapter. The lab notes are a detailed reference guide to the R functions that appear in the labs, written to be accessible to a first-time user of a computing language. They provide more explanation than available in the R help documentation, with examples specific to what is demonstrated in the labs.

Introductory Statistics 2e (hardcover, Full Color)

Author : Barbara Illowsky,Susan Dean
Publisher : Unknown
Page : 0 pages
File Size : 45,5 Mb
Release : 2023-12-14
Category : Business & Economics
ISBN : 1998295478

Get Book

Introductory Statistics 2e (hardcover, Full Color) by Barbara Illowsky,Susan Dean Pdf

Book Publication Date: Dec 13, 2023. Full color. Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills.

OpenIntro Statistics

Author : David Diez,Christopher Barr,Mine Çetinkaya-Rundel
Publisher : Unknown
Page : 128 pages
File Size : 46,6 Mb
Release : 2015-07-02
Category : Electronic
ISBN : 1943450048

Get Book

OpenIntro Statistics by David Diez,Christopher Barr,Mine Çetinkaya-Rundel Pdf

The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.

Sampling Theory and Practice

Author : Changbao Wu,Mary E. Thompson
Publisher : Springer Nature
Page : 371 pages
File Size : 40,9 Mb
Release : 2020-05-15
Category : Social Science
ISBN : 9783030442460

Get Book

Sampling Theory and Practice by Changbao Wu,Mary E. Thompson Pdf

The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.