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Introduction to Statistics with the Wolfram Language applies the extensive computational power of the Wolfram Language to the field of statistics. Starting from the basics and working through a range of foundational concepts, Klopper shows just how accessible computational statistics can
be given the appropriate tool set. Topics include descriptive statistics, distributions, hypothesis testing, parametric testing, correlation and much more. Follow along as Klopper offers step-by-step instructions and relevant exercises from the field of medical statistics designed to teach readers how to understand and present data in today's increasingly data-driven world.
The Wolfram Language represents a major advance in programming languages that makes leading edge computation accessible to everyone. Unique in its approach of having vast built-in knowledge and automation,
Introduction to Statistics with the Wolfram Language applies the extensive computational power of the Wolfram Language to the field of statistics. Starting from the basics and working through a range of foundational concepts, Klopper shows just how accessible computational statistics canbe given
The unique feature of this compact student's introduction to Mathematica(R) and the Wolfram Language(TM) is that the order of the material closely follows a standard mathematics curriculum. As a result, it provides a brief introduction to those aspects of the Mathematica(R) software program most
A Visual Language is a practical introduction to the language of the visual arts, with a strong, innovative methodology. This expanded second edition begins with the basics of shape, composition and drawing, and gradually moves on to explore more complex arrangements, including abstract and
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This
Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical
Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples from
The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn't need to be difficult or dull. Author Fred Coolidge minimizes students' anxieties about math by explaining the concepts of statistics in plain language first, before addressing the
A clear and comprehensive introduction to Statistics with step by step guidance on using SPSS to carry out statistical analysis. Understanding Statistics in Psychology with SPSS is geared towards helping students to properly understand statistical techniques so gaining the confidence to apply them
The eagerly anticipated new edition of the bestselling introduction to x86 assembly language The long-awaited third edition of this bestselling introduction to assembly language has been completely rewritten to focus on 32-bit protected-mode Linux and the free NASM assembler. Assembly is the
General Editor's Introduction / Nancy H. Hornberger Introduction to volume 7: Language Testing and Assessment / Elana Shohamy Contributors Reviewers Section 1: Assessing Language Domains 1. Assessing Oral and Literate Abilities / Alister Cumming 2. Assessment in Multilingual Societies / Rama Mathew
Sociolinguistics deals with the social life of language, language in its sociocultural context. It is a branch of linguistics that looks less at the shape or sound of words--morphology or phonology--and more at how our words and sentences are influenced by the society around us--for instance, how
An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and
Statistical methods are a key tool for all scientists working with data, but learning the basics continues to challenge successive generations of students. This accessible textbook provides an up-to-date introduction to the classical techniques and modern extensions of linear model analysis-one of
The new edition of the popular introduction to the world of statistics for health care professionals and medical students First published nearly three decades ago, Statistics at Square One remains one of the most popular introductions to medical statistics. Now in its twelfth edition, this
The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations
The updated Second Edition of Herschel Knapp's friendly and practical introduction to statistics shows students how to properly select, process, and interpret statistics without heavy emphasis on theory, formula derivations, or abstract mathematical concepts. Each chapter is structured to answer
This is first comprehensive introduction to the linguistics of Auslan, the sign language of Australia. Assuming no prior background in language study, it explores each key aspect of the structure of Auslan, providing an accessible overview of its grammar (how sentences are structured), phonology
Since the 2014 publication of Introduction to Probability, Statistics, and Random Processes, many have requested the distribution of solutions to the problems in the textbook. This book contains guided solutions to the odd-numbered end-of-chapter problems found in the companion textbook. Student's
Statistics is the science that focuses on drawing conclusions from data, by modeling and analyzing the data using probabilistic models. In 'An Introduction to Mathematical Statistics' the authors describe key concepts from statistics and give a mathematical basis for important statistical methods
This is a highly accessible textbook on understanding statistics for the health sciences, both conceptually and via SPSS. The authors give clear explanations of the concepts underlying statistical analyzes and descriptions of how these analyzes are applied in health sciences research without
The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book. Yet it retains its central philosophy to explain medical statistics with as little
An R Companion for Applied Statistics I: Basic Bivariate Techniques breaks the language of the R software down into manageable chunks in order to help students learn how to use it. R is a powerful, flexible, and free tool. However, the flexibility--which eventually becomes a great asset--can make
Introduction to English as a Second Language Workbook accompanies the Coursebook (sold separately) in this Fourth edition series, and is presented in an accessible updated design. Each Workbook unit reinforces the topic and theme from the corresponding Coursebook unit, and provides additional