Statistical Thinking from Scratch


Book Description

Focuses on detailed instruction in a single statistical technique, simple linear regression (SLR), with the goal of gaining tools, understanding, and intuition that can be applied to other contexts.




The Basic Practice of Statistics


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.




Study Guide for Understanding Nursing Research E-Book


Book Description

Use this practical study guide to get more out of Grove & Gray's Understanding Nursing Research, 8th Edition! With chapters corresponding to the textbook, this workbook provides exercises that build your knowledge and boost your critical appraisal skills. It offers hands-on practice in applying nursing research to evidence-based practice while reinforcing the steps of the research process. Like the textbook, this edition includes a stronger emphasis on critical appraisal — with an appendix of three published research studies referenced in exercises throughout the book. - Time-tested and innovative exercises reinforce key concepts with fill-in-the-blank, matching, and multiple-choice questions, with exercises including Terms and Definitions, Linking Ideas, Web-Based Information and Resources, and Conducting Critical Appraisals to Build an Evidence-Based Practice. - Critical Appraisal activities provide opportunities to apply your research knowledge to evaluate the quantitative, qualitative, and mixed methods studies located in the appendices. - Appraisal Guidelines provide step-by-step guidance in critically appraising published research literature. - Quick-reference printed tabs in the print edition make it easy to locate the Answer Key and each of the book's three published studies in the appendices. - Answer Key is provided for the exercises in each chapter, allowing you to check your understanding and learn from your mistakes. - NEW! Increased focus on critical appraisal for evidence-based practice corresponds to the emphasis on critical appraisal in the text. - NEW! Updated content corresponds to the 8th edition of Grove & Gray's Understanding Nursing Research textbook. - NEW! Updated full-text articles reflect the most current, high-quality research studies.




Study Guide for Understanding Nursing Research -


Book Description

Learning activities for each textbook chapter review and reinforce key concepts and offer application to evidence-based clinical practice.Time-tested and innovative exercisespromote in-depth learning with "Introductions, Key Terms "exercises," Key Ideas" exercises, " Making Connections" exercises, crossword puzzles," Exercises in Critical Appraisal, "and "Going Beyond" exercises.Hands-on practice with three published research studies allows you to apply your knowledge and gain practice in working with the kinds of articles you will use to build an evidence-based practice.Answer key for all activities lets you check your understanding and learn from your mistakes. An expanded focus on evidence-based practice and new case studies shows the value of understanding the research process and applying it for an evidence-based nursing practice.Three new full-text research articles serve as the basis for hands-on practice in each chapter. "




All of Statistics


Book Description

Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.







Study Guide for Understanding Nursing Research -E-Book


Book Description

Review nursing research concepts and learn to apply them for evidence-based practice! With learning activities in each chapter, this study guide reinforces the content covered in Understanding Nursing Research, 5th Edition by Nancy Burns and Susan K. Grove. This edition includes an expanded focus on evidence-based practice and new case studies to help you understand the research process and apply your findings to the clinical setting. Three published research studies provide an opportunity to practice with the appraisal and application of nursing research. Learning activities for each textbook chapter review and reinforce key concepts and offer application to evidence-based clinical practice. Time-tested and innovative exercises promote in-depth learning with Introductions, Key Terms exercises, Key Ideas exercises, Making Connections exercises, crossword puzzles, Exercises in Critical Appraisal, and Going Beyond exercises. Hands-on practice with three published research studies allows you to apply your knowledge and gain practice in working with the kinds of articles you will use to build an evidence-based practice. Answer key for all activities lets you check your understanding and learn from your mistakes. An expanded focus on evidence-based practice and new case studies shows the value of understanding the research process and applying it for an evidence-based nursing practice. Three new full-text research articles serve as the basis for hands-on practice in each chapter.




Naked Statistics: Stripping the Dread from the Data


Book Description

A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.




Understanding Nursing Research - eBook


Book Description

Learn how to evaluate and apply research with the #1 nursing research book! Understanding Nursing Research: Building an Evidence-Based Practice is known for its authoritative content, a time-tested step-by-step approach, and abundant use of research examples. With improved clarity and readability, the new edition strengthens its focus on evidence-based practice to better demonstrate how the steps of the research process relate to evidence-based nursing. Written by two of the leaders in the field of nursing research, Nancy Burns and Susan K. Grove, this full-color text offers unique insights into understanding, appraising, and applying published research to evidence-based practice. Authoritative content is written by two of the true pioneers in nursing research, who offer unique, first-hand insights into the field. Research examples provide practice in working with published studies, with many of the examples including Critical Appraisal and Implications for Practice sections. A clear, step-by-step organization introduces the research process and demonstrates how this systematic framework relates to evidence-based practice. An expanded emphasis on evidence-based practice helps you develop skills in studying and appraising published research, so you are prepared for your role in working with research evidence. Enhanced coverage of qualitative research allows prepares you to approach research questions and clinical questions with an unbiased view of the researcher's methodology. Two different appraisal processes are included: A traditional in-depth critical appraisal process prepares you for graduate-level work in research. A concise, practice-focused research appraisal process equips you for quick and accurate evaluation of the applicability of research findings to clinical practice. Updated research examples prepare you for evidence-based practice by using the physiologic conditions and hospitalized patients seen in clinicals.




Practical Statistics


Book Description

Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.