Basic Skills in Statistics PDF Download
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Author: Adrian Cook
Publisher: Class Publishing Ltd
ISBN: 9781859591017
Category : Medical
Languages : en
Pages : 116
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Book Description
Statistics can be an intimidating subject for many students and clinicians. This concise text introduces basic concepts that underpin medical statistics and, using everyday clinical examples, highlights the importance of statistical principles to understanding and implementing research findings in routine clinical care.
Author: Adrian Cook
Publisher: Class Publishing Ltd
ISBN: 9781859591017
Category : Medical
Languages : en
Pages : 116
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Book Description
Statistics can be an intimidating subject for many students and clinicians. This concise text introduces basic concepts that underpin medical statistics and, using everyday clinical examples, highlights the importance of statistical principles to understanding and implementing research findings in routine clinical care.
Author: Mary Lee
Publisher: ASHP
ISBN: 1585283452
Category : Medical
Languages : en
Pages : 1124
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Book Description
Basic Skills in Interpreting Laboratory Data, Fifth Edition, is the classic and most popular pharmacy laboratory text because it is the only reference on this subject written by pharmacists, for pharmacists. Students find this guide a clear and useful introduction to the fundamentals of interpreting laboratory test results. The book enhances the skills pharmacists need by providing essential information on common laboratory tests used to screen for or diagnose diseases and monitor the effectiveness and safety of treatment and disease severity. Each chapter contains learning objectives, case studies, bibliographies, and charts that summarize the causes of high and low test results. New for this edition: Updated and expanded Quick View tables in each chapter now match those in the popular quick-reference, Interpreting Laboratory Data: A Point-of-Care Guide New glossary of acronyms is right up front for a streamlined reference Normal value ranges of all tests have been standardized by an expert pathologist New and updated cases in each chapter apply your Basic Skills in clinical situations Reorganized to highlight the application of concepts by body system, and in special populations Basic Skills in Interpreting Laboratory Data offers features that will help pharmacy students not only understand and engage with the material but also will streamline the transition from classroom to practice setting. After studying with this trusted text, students and pharmacists will more effectively monitor patient therapy, evaluate test results, and improve outcomes through optimal and focused pharmacotherapy.
Author: Rhys Jones
Publisher: SAGE
ISBN: 1529719291
Category : Psychology
Languages : en
Pages : 159
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Book Description
Are you feeling anxious about statistics? This hands-on workbook is packed with clear explanations, real-world examples and practical exercises to give you the maths skills you need to tackle statistics with confidence. Grounded in a social science context, it features: · Clear introductions to symbols and tasks · Multiple choice questions and exercises · Real world case studies and datasets · A glossary of terms To help you practice, this book is accompanied by useful online resources, including datasets and questions, as well as a selection of author videos.
Author: Douglas A. Lind
Publisher: McGraw-Hill Companies
ISBN: 9780072471045
Category : Commercial statistics
Languages : en
Pages : 0
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Book Description
The Fifth Edition of Basic Statistics for Business and Economics is a shorter version of Lind/Marchal/Wathen's Statistical Techniques in Business and Economics, 12e. The authors of this text continue to provide a student-oriented approach to business statistics. In this book you will find step-by-step solved examples, realistic exercises, and up-to-date technology and illustrations. Book jacket.
Author: June Haighton
Publisher: Nelson Thornes
ISBN: 9780748778645
Category : Arithmetic
Languages : en
Pages : 120
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Book Description
The "Data Handling Worksheet Pack" covers the Curriculum area of Data Handling for Entry level 1 and 2. The "Worksheets" feature self contained activities providing explanation, examples and activities on each topic area, without the need for supplementary resources Exercises progress from simple numerical questions gradually increasing in difficulty to incorporate numbers into language. Suggestions for alternative methods of learning are provided for students who are struggling to comprehend a particular topic.
Author: David S. Moore
Publisher: Palgrave Macmillan
ISBN: 1429224266
Category : Mathematics
Languages : en
Pages : 975
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Book Description
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.
Author: Vaclav Brezina
Publisher: Cambridge University Press
ISBN: 1107125707
Category : Foreign Language Study
Languages : en
Pages : 317
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Book Description
A comprehensive and accessible introduction to statistics in corpus linguistics, covering multiple techniques of quantitative language analysis and data visualisation.
Author: OCDE,
Publisher: OCDE
ISBN: 9789264234819
Category :
Languages : en
Pages : 112
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Book Description
While access to schooling has expanded around the world, many countries have not realised the hoped-for improvements in economic and social well-being. Access to education by itself is an incomplete goal for development; many students leave the education system without basic proficiency in literacy and numeracy. As the world coalesces around new sustainable development targets towards 2030, the focus in education is shifting towards access and quality. Using projections based on data from the OECD Programme for International Student Assessment (PISA) and other international student assessments, this report offers a glimpse of the stunning economic and social benefits that all countries, regardless of their national wealth, stand to gain if they ensure that every child not only has access to education but, through that education, acquires at least the baseline level of skills needed to participate fully in society.
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: Peter Bruce
Publisher: "O'Reilly Media, Inc."
ISBN: 1491952911
Category : Computers
Languages : en
Pages : 395
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Book Description
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
