Statistics Explained

An Introductory Guide for Life Scientists

Author: Steve McKillup

Publisher: Cambridge University Press

ISBN: 1139502948

Category: Medical

Page: N.A

View: 9414

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An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.

Statistics Explained

Author: Perry R. Hinton

Publisher: Routledge

ISBN: 1317753925

Category: Psychology

Page: 358

View: 8771

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Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader’s statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book: provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research data gives accessible explanations of how and why statistical tests are used includes a wide range of practical, easy-to-understand worked examples. Building on the international success of earlier editions, this fully updated revision includes developments in statistical analysis, with new sections explaining concepts such as bootstrapping and structural equation modelling. A new chapter - ‘Samples and Statistical Inference’ - explains how data can be analysed in detail to examine its suitability for certain statistical tests. The friendly and straightforward style of the text makes it accessible to all those new to statistics, as well as more experienced students requiring a concise guide. It is suitable for students and new researchers in disciplines including Psychology, Education, Sociology, Sports Science, Nursing, Communication, and Media and Business Studies. Presented in full colour and with an updated, reader-friendly layout, this new edition also comes with a companion website featuring supplementary resources for students. Unobtrusive cross-referencing makes it the ideal companion to Perry R. Hinton’s SPSS Explained, also published by Routledge. Perry R. Hinton has many years of experience in teaching statistics to students from a wide range of disciplines and his understanding of the problems students face forms the basis of this book.

Basics of Statistics Explained

Author: Can Akdeniz

Publisher: Can Akdeniz

ISBN: N.A

Category:

Page: 42

View: 5155

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What do you know about statistics? Are you a business student? Are you a manager of some company? Do you want to be an Economist? If yes, this course if for you. Principles of Statistics are the basics of Economics. Most of the times, people find such course very boring and difficult. In fact, Statistic is really a boring thing. In this book, you will witness that the whole course is detailed in an easy to read and easy to understand way. While having a cup of tea, study it and get to know all about the principles of statistics. In simple words, it is a complete course that will help you in understanding the principles of statistics. What you’ll learn in this book: Basics of Statistics Population and Sample Descriptive and Inferential Statistics Variables Measures of Center Measures of Variation Standard Deviation Organization of Data What is Estimation? Hypothesis Testing Summarization of Bivariate Data

Statistics explained

a computer assisted guide to the logic of statistical reasoning

Author: Howard S. Hoffman

Publisher: N.A

ISBN: N.A

Category: Mathematics

Page: 329

View: 7338

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Statistical Data Analysis Explained

Applied Environmental Statistics with R

Author: Clemens Reimann,Peter Filzmoser,Robert Garrett,Rudolf Dutter

Publisher: John Wiley & Sons

ISBN: 1119965284

Category: Science

Page: 362

View: 9085

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Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.

Statistics Explained

A Guide for Social Science Students, 2nd Edition

Author: Perry R. Hinton

Publisher: Routledge

ISBN: 1134319169

Category: Psychology

Page: 400

View: 511

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Students and lecturers will welcome this introduction to statistics which offers clear and easy-to-understand explanations of how and why they are used.

SPSS Explained

Author: Perry R. Hinton,Isabella McMurray,Charlotte Brownlow

Publisher: Routledge

ISBN: 1317753119

Category: Computers

Page: 386

View: 2784

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SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. A number of other helpful features are provided: regular advice boxes with tips specific to each test explanations divided into ‘essential’ and ‘advanced’ sections to suit readers at different levels frequently asked questions at the end of each chapter. The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used an introduction to binary logistic regression coverage of new features such as Chart Builder. Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users’ concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology.

Perceiving Geometry

Geometrical Illusions Explained by Natural Scene Statistics

Author: Catherine Q. Howe,Dale Purves

Publisher: Springer Science & Business Media

ISBN: 9780387254883

Category: Medical

Page: 126

View: 1908

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During the last few centuries, natural philosophers, and more recently vision scientists, have recognized that a fundamental problem in biological vision is that the sources underlying visual stimuli are unknowable in any direct sense, because of the inherent ambiguity of the stimuli that impinge on sensory receptors. The light that reaches the eye from any scene conflates the contributions of reflectance, illumination, transmittance, and subsidiary factors that affect these primary physical parameters. Spatial properties such as the size, distance and orientation of physical objects are also conflated in light stimuli. As a result, the provenance of light reaching the eye at any moment is uncertain. This quandary is referred to as the inverse optics problem. This book considers the evidence that the human visual system solves this problem by incorporating past human experience of what retinal images have typically corresponded to in the real world.

Statistics for Terrified Biologists

Author: Helmut van Emden

Publisher: John Wiley & Sons

ISBN: 1118541677

Category: Science

Page: 360

View: 8965

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“We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” –The Quarterly Review of Biology, March 2009 "During the entire course of my Ph.D. I've been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I've come to realize that often times, simply knowing the basics is enough for you to properly apply even the most complex analytical methods. ‘Statistics for Terrified Biologists’ has been just such a book - it was more than worth the $40 I spent on it, and while my 'book clubs' aren't meant to be reviews, I highly recommend the book to anyone who's in a similar predicament to my own." –Carlo Artieri's Blog Book Club The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods. This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students. For the first time basic methods are presented using straightforward, jargon-free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.

SPSS Explained

Author: Perry R. Hinton,Isabella McMurray,Charlotte Brownlow

Publisher: Routledge

ISBN: 1317753119

Category: Computers

Page: 386

View: 1746

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SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. A number of other helpful features are provided: regular advice boxes with tips specific to each test explanations divided into ‘essential’ and ‘advanced’ sections to suit readers at different levels frequently asked questions at the end of each chapter. The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used an introduction to binary logistic regression coverage of new features such as Chart Builder. Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users’ concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology.

The Cartoon Guide to Statistics

Author: Larry Gonick,Woollcott Smith

Publisher: Paw Prints

ISBN: 9781435242715

Category: Business & Economics

Page: 230

View: 4280

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If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more--all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant!

Understanding Advanced Statistical Methods

Author: Peter Westfall,Kevin S. S. Henning

Publisher: CRC Press

ISBN: 1466512105

Category: Mathematics

Page: 569

View: 4061

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Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book’s website.

Think Stats

Author: Allen B. Downey

Publisher: "O'Reilly Media, Inc."

ISBN: 1491907371

Category: Computers

Page: 226

View: 6677

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If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Business Statistics For Dummies

Author: Alan Anderson

Publisher: John Wiley & Sons

ISBN: 1118630696

Category: Business & Economics

Page: 388

View: 9345

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Taking a business statistics course, or just need to understand this complicated topic for your business? This guide shows how statistical ideas, techniques, formulas, and calculations apply to the world of global business and economics. You'll get an introduction on sampling and graphs, and discover how statistics are used in daily life.

Predictive Statistics

Analysis and Inference beyond Models

Author: Bertrand S. Clarke,Jennifer L. Clarke

Publisher: Cambridge University Press

ISBN: 1107028280

Category: Business & Economics

Page: 652

View: 9386

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A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.

Practical Statistics Simply Explained

Author: Dr. Russell A. Langley

Publisher: Courier Corporation

ISBN: 0486317277

Category: Mathematics

Page: 399

View: 2899

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Primer on how to draw valid conclusions from numerical data using logic and the philosophy of statistics rather than complex formulae. Discusses averages and scatter, investigation design, more. Problems, solutions.

Ultimate AP Statistics Practice Book

100 Essential Problems Completely Explained on YouTube

Author: Kendall Roberg

Publisher: Createspace Independent Publishing Platform

ISBN: 9781542321761

Category:

Page: 112

View: 6305

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Finally, an AP Statistics practice book for the modern student. The Ultimate AP Statistics Practice Guide contains 100 problems that are all completely explained on YouTube. These videos cover every step, every concepts, and even every button to push on your graphing calculator. The problems cover all the important topics of Statistics at an AP level. Some of the topics covered include: Describing Distributions of Data (Shape, Center, Spread, & Outliers) Graphing Data (Histograms, Dotplots, Boxplots, Stemplots, Ogives, and Pie Charts) Two-Way Tables (Conditional & Marginal Distributions) The Normal Distribution, z-Scores, and Percentiles Least-Squares Regression & Scatterplots Probability (Tree Diagrams, Venn Diagrams, & Formulas) Discrete & Continuous Random Variables Constructing Confidence Intervals Significance (Hypotheses) Tests One Sample & Two Sample Tests Chi-Square Tests Inference for Linear Regression Understanding Residual Plots Applying Transformations to Achieve Linearity The problems all have video solutions on YouTube that can be accessed by simply scanning the code in the corner of each page. This edition is for the 2017 & 2018 AP Statistics Exam

Chances Are

The Only Statistic Book You'll Ever Need

Author: Steve Slavin

Publisher: Madison Books

ISBN: 146162293X

Category: Mathematics

Page: 224

View: 5860

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Chances Are is the first book to make statistics accessible to everyone, regardless of how much math you remember from school.