Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Basic Statistics Principles Of
Download Basic Statistics Principles Of full books in PDF, epub, and Kindle. Read online Basic Statistics Principles Of ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Basic Practice of Statistics by : David S. Moore
Download or read book The Basic Practice of Statistics written by David S. Moore and published by Palgrave Macmillan. This book was released on 2010 with total page 975 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Introductory Statistics by : Douglas S. Shafer
Download or read book Introductory Statistics written by Douglas S. Shafer and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Basic Statistics (Principles Of) by : National Learning Corporation
Download or read book Basic Statistics (Principles Of) written by National Learning Corporation and published by National Learning Corporation. This book was released on 2020 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The DSST Basic Statistics Passbook(R) prepares candidates for the DSST exam, which enables schools to award credit for knowledge acquired outside the normal classroom environment. It provides a series of informational texts as well as hundreds of questions and answers in the areas that will likely be covered on your upcoming exam, including but not limited to: probability; correlation and regression; sampling methods; inferential statistics; and more.
Book Synopsis Basic Statistics for the Social and Behavioral Sciences by : George Diekhoff
Download or read book Basic Statistics for the Social and Behavioral Sciences written by George Diekhoff and published by Macmillan College. This book was released on 1996 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on principles and techniques that are appropriate for the introductory level, this text provides a conceptual, intuitive approach to applied statistics that replaces proofs and derivations with examples and illustrations. The focus throughout is on the usefulness of statistics and content is organized according to statistical applications, not statistical assumptions.
Book Synopsis Statistical Methods by : Cheryl Ann Willard
Download or read book Statistical Methods written by Cheryl Ann Willard and published by Routledge. This book was released on 2020-02-27 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs. The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests. Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters. New to the second edition: Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual
Book Synopsis Using Basic Statistics in the Behavioral and Social Sciences by : Annabel Ness Evans
Download or read book Using Basic Statistics in the Behavioral and Social Sciences written by Annabel Ness Evans and published by SAGE Publications. This book was released on 2013-06-06 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this fully updated edition of Using Basic Statistics in the Behavioral and Social Sciences, Annabel Ness Evans presents introductory statistics in a practical, conceptual, and humorous way, reducing the anxiety that many students experience in introductory courses. Avoiding complex notation and derivations, the book focuses on helping readers develop an understanding of the underlying logic of statistics, rather than rote memorization. Focus on Research boxes engage students with realistic applications of statistics, and end-of-chapter exercises ensure student comprehension. This exciting new edition includes a greater number of realistic and engaging global examples within the social and behavioral sciences, making it ideal for use within many departments or in interdisciplinary settings.
Book Synopsis Basic Statistics for the Health Sciences by : Jan W. Kuzma
Download or read book Basic Statistics for the Health Sciences written by Jan W. Kuzma and published by McGraw-Hill Europe. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the only introductory statistics text written specifically for health science students. Assuming no prerequisites other than high school algebra, the authors provide numerous examples from health settings, a wealth of helpful learning aids, as well as hundreds of exercises to help students succeed in the course.
Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce
Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Basic Statistics by : Rand R. Wilcox
Download or read book Basic Statistics written by Rand R. Wilcox and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Basic Statistics' introduces students to basic principles and concepts in a simple manner that takes into account the many relevant advances and insights developed during the last half century that are ignored in the typical introductory course.
Book Synopsis Principles of Statistics by : M. G. Bulmer
Download or read book Principles of Statistics written by M. G. Bulmer and published by Courier Corporation. This book was released on 2012-04-26 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concise description of classical statistics, from basic dice probabilities to modern regression analysis. Equal stress on theory and applications. Moderate difficulty; only basic calculus required. Includes problems with answers.
Book Synopsis Fundamental Statistical Principles for the Neurobiologist by : Stephen W. Scheff
Download or read book Fundamental Statistical Principles for the Neurobiologist written by Stephen W. Scheff and published by Academic Press. This book was released on 2016-02-11 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature. An introductory guide to statistics aimed specifically at the neuroscience audience Contains numerous examples with actual data that is used in the analysis Gives the investigators a starting pointing for evaluating data in easy-to-understand language Explains in detail many different statistical tests commonly used by neuroscientists
Download or read book Basic Statistics written by Seemon Thomas and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: BASIC STATISTICS is an introductory text. It outlines an elementary, one-semester course designed to expose students to many statistical ideas and rules that underlie statistical reasoning. The text presents a thorough, step-by-step development of fundamental principles. It reflects the changes that have taken place in recent years in statistical thinking and in the teaching of statistics. This book provides the most comprehensive and the most mathematically oriented presentation of elementary concepts and methods in the field of statistics. Every major techniques of numerical data handling using MS Excel is completely detailed. Although the primary focus of the book is on a mathematical development of the subject it also contains variety of examples and exercises that are oriented toward 'real world' applications.
Book Synopsis Principles of Managerial Statistics and Data Science by : Roberto Rivera
Download or read book Principles of Managerial Statistics and Data Science written by Roberto Rivera and published by John Wiley & Sons. This book was released on 2020-02-05 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.
Book Synopsis Basic Statistics and Pharmaceutical Statistical Applications by : James E. De Muth
Download or read book Basic Statistics and Pharmaceutical Statistical Applications written by James E. De Muth and published by CRC Press. This book was released on 2014-04-28 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on its best-selling predecessors, Basic Statistics and Pharmaceutical Statistical Applications, Third Edition covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving. Incorporating
Book Synopsis Principles of Medical Statistics by : Alvan R. Feinstein
Download or read book Principles of Medical Statistics written by Alvan R. Feinstein and published by CRC Press. This book was released on 2001-09-14 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: The get-it-over-with-quickly approach to statistics has been encouraged - and often necessitated - by the short time allotted to it in most curriculums. If included at all, statistics is presented briefly, as a task to be endured mainly because pertinent questions may appear in subsequent examinations for licensure or other certifications. However,
Book Synopsis Fundamentals of Modern Statistical Methods by : Rand R. Wilcox
Download or read book Fundamentals of Modern Statistical Methods written by Rand R. Wilcox and published by Springer. This book was released on 2010-03-10 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research. The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size.
Book Synopsis Principles of Statistical Inference by : D. R. Cox
Download or read book Principles of Statistical Inference written by D. R. Cox and published by Cambridge University Press. This book was released on 2006-08-10 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.
