Applying Statistical Concepts
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Applied Statistics Concepts For Counselors
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Author : Geoffrey W. Sutton
language : en
Publisher: Independently Published
Release Date : 2019-08-23
Applied Statistics Concepts For Counselors written by Geoffrey W. Sutton and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-23 with categories.
Increase competency while building confidence in reading statistics and discussing test scores. This book focuses on statistical literacy for counselors and psychotherapists. You will find a review of basic statistical concepts explained with examples from counseling practice and research. Applied Statistics is for all human service professionals (and students) involved in counseling, interviewing, and assessment. Key Features*How statistics function in counseling research and practice*Easy to read explanations of basic stats like measurement, averages, correlations*Simple descriptions of statistical tests like t tests, ANOVA, chi square*Important review of test score reliability and validity*Helpful hints on reading complex statistics*Includes an extensive glossary and links to online resources*Includes a practice test with answers What Reviewers Say About Applied Statistics***"Even though I completed multiple graduate level statistics courses, I benefitted from the simple and straight forward content of this text. Practice tests at the end of chapters helps assess learning and application. This is a great refresher resource for counselors and beginning graduate students. "Christine Arnzen, Ph.D., LPC, Associate Professor, Evangel University; Coordinator, Graduate Counseling Programs***"If you need to review basic statistics and don't know where to begin, this book is perfect! It makes difficult concepts easy to understand." Heather L. Kelly, Psy.D., Professor of Psychology, Department Chair, Evangel University, Springfield, Missouri, USA***"I really appreciated the places where you gave applied examples. For me, those have always helped me to understand the function of statistics." Nick Schollars, M.S., Mental Health Counseling, Oregon, USA***"This comprehensive yet concise overview of statistical concepts related to counseling research and practice, is a much needed must-read for all counselling graduate students..." Dr Mervin Van der Spuy, Psychopharmacologist & Couples Therapist, Paraklesis CounsellingCalgary, Alberta, Canada
Applying Statistical Concepts
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Author : Dennis E. Hinkle
language : en
Publisher:
Release Date : 1979
Applying Statistical Concepts written by Dennis E. Hinkle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Mathematical statistics categories.
Applying Statistical Concepts
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Author : Dennis E. Hinkle
language : en
Publisher: Houghton Mifflin School
Release Date : 1988-01-01
Applying Statistical Concepts written by Dennis E. Hinkle and has been published by Houghton Mifflin School this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-01-01 with Social Science categories.
This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in chapter exercises span the curriculum, from political science to marketing, so that students make a connection between their own area of interest and the study of statistics.Unique coverage focuses on concepts critical to understanding current statistical research such as power and sample size, multiple comparison tests, multiple regression, and analysis of covariance. Additional SPSS coverage throughout the text includes computer printouts and expanded discussion of their contents in interpreting the results of sample exercises.
Applied Statistics Concepts For Counselors
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Author : Geoffrey W Sutton
language : en
Publisher: Sunflower
Release Date : 2019-12-31
Applied Statistics Concepts For Counselors written by Geoffrey W Sutton and has been published by Sunflower this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-31 with Psychology categories.
Increase competency while building confidence in reading statistics and discussing test scores. This book focuses on statistical literacy for counselors and psychotherapists. You will find a review of basic statistical concepts explained with examples from counseling practice and research. Applied Statistics is for all human service professionals (and students) involved in counseling, interviewing, and assessment. Key Features · How statistics function in counseling research and practice · Easy to read explanations of basic stats like measurement, averages, correlations · Simple descriptions of statistical tests like t tests, ANOVA, chi square · Important review of test score reliability and validity · Includes an extensive glossary · Practice with answers · Links to online resources What Reviewers Say About Applied Statistics Even though I completed multiple graduate level statistics courses, I benefitted from the simple and straight forward content of this text. Practice tests at the end of chapters helps assess learning and application. This is a great refresher resource for counselors and beginning graduate students. Christine Arnzen, Ph.D., LPC, Associate Professor, Evangel University; Coordinator, Graduate Counseling Programs
Applied Statistics
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Author : Geoffrey Sutton
language : en
Publisher:
Release Date : 2017-07-08
Applied Statistics written by Geoffrey Sutton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-08 with categories.
This book is aimed at helping students and counselors read statistics rather than learn how to calculate them. Readers will find a review of basic statistical concepts explained with examples from counseling practice and research.Key Features Discusses the role of statistics in counseling practice and research Covers basic statistical concepts like measurement scales, measures of central tendency, correlation Reviews t tests, ANOVA, and chi-square Covers test scores, reliability, validity Includes a glossaryWhat Reviewers Say"If you need to review basic statistics and don't know where to begin, this book is perfect! It makes difficult concepts easy to understand." Heather L. Kelly, Psy.D., Professor of Psychology, Evangel University, Springfield, Missouri, USA"I really appreciated the places where you gave applied examples. For me, those have always helped me to understand the function of statistics." Nick Schollars, M.S., Mental Health Counseling, Oregon, USA"This comprehensive yet concise overview of statistical concepts related to counseling research and practice, is a much needed must-read for all counselling graduate students..." Dr Mervin Van der Spuy, Psychopharmacologist & Couples Therapist, Paraklesis CounsellingCalgary, Alberta, Canada
Introduction To Real World Statistics
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Author : Edward T. Vieira, Jr.
language : en
Publisher: Routledge
Release Date : 2017-03-09
Introduction To Real World Statistics written by Edward T. Vieira, Jr. and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-09 with Education categories.
Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation; an introduction to the concept of probability; data screening and descriptive statistics; various inferential analysis techniques; and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject, equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions. Notable features include: short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making statistical procedures presented in a practical context with less emphasis on technical jargon early chapters that build a foundation before presenting statistical procedures SPSS step-by-step detailed instructions designed to reinforce student understanding real world exercises complete with answers chapter PowerPoints and test banks for instructors.
Applying Statistical Concepts
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Author : Kelvin Seifert
language : en
Publisher: Macmillan College
Release Date : 1988-03
Applying Statistical Concepts written by Kelvin Seifert and has been published by Macmillan College this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-03 with categories.
Statistics For Technology
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Author : Christopher Chatfield
language : en
Publisher: Chapman & Hall
Release Date : 1978
Statistics For Technology written by Christopher Chatfield and has been published by Chapman & Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Mathematics categories.
One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering.The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters.Divided into three parts, the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments, quality control, and life testing.Revised throughout, this Third Edition places a higher priority on the role of computers in analysis, and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems, including guidance on literature searching and report writing.
Statistical Concepts A First Course
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Author : Debbie L. Hahs-Vaughn
language : en
Publisher: Routledge
Release Date : 2020-01-20
Statistical Concepts A First Course written by Debbie L. Hahs-Vaughn and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-20 with Psychology categories.
Statistical Concepts—A First Course presents the first 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for first and lower-level statistics courses, this book communicates a conceptual, intuitive understanding of statistics that does not assume extensive or recent training in mathematics and only requires a rudimentary knowledge of algebra. Covering the most basic statistical concepts, this book is designed to help readers really understand statistical concepts, in what situations they can be applied, and how to apply them to data. Specifically, the text covers basic descriptive statistics, including ways of representing data graphically, statistical measures that describe a set of data, the normal distribution and other types of standard scores, and an introduction to probability and sampling. The remainder of the text covers various inferential tests, including those involving tests of means (e.g., t tests), proportions, variances, and correlations. Providing accessible and comprehensive coverage of topics suitable for an undergraduate or graduate course in statistics, this book is an invaluable resource for students undertaking an introductory course in statistics in any number of social science and behavioral science disciplines.
Applied Statistical Learning Machine Intelligence Mastering Core Concepts With Python A Comprehensive Guide From Foundational Theory To Real World Deployment
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Author : Egomerit LLC
language : en
Publisher: Godwin Elijah
Release Date :
Applied Statistical Learning Machine Intelligence Mastering Core Concepts With Python A Comprehensive Guide From Foundational Theory To Real World Deployment written by Egomerit LLC and has been published by Godwin Elijah this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Master the Essential Toolkit for the Modern Data World Applied Statistical Learning & Machine Intelligence is your definitive guide to understanding and applying the cutting-edge statistical and machine learning techniques that are revolutionizing industries from finance and biotechnology to marketing and astrophysics. Designed for the Python era, this book bridges the critical gap between theoretical understanding and practical, deployable skill. Why This Book is Your Essential Resource: From Theory to Production: Unlike other textbooks that stop at theory, this book provides a complete learning journey. We cover everything from foundational probability and exploratory data analysis (EDA) to advanced neural networks and the crucial MLOps pipeline for model deployment. Hands-On Python-First Approach: Every key concept is paired with practical Python tutorials using essential libraries like pandas, scikit-learn, statsmodels, NumPy, Seaborn, XGBoost, and TensorFlow/PyTorch fundamentals. The labs are designed for both beginners and experienced programmers. Expanded, Future-Ready Content: While covering the core of statistical learning (linear regression, classification, resampling, tree-based methods, SVM, clustering), this book goes further. It includes dedicated sections on Deep Learning (CNNs, RNNs), Explainable AI (SHAP, LIME), handling imbalanced data, survival analysis, and ethical AI considerations. Built for Clarity and Application: Complex ideas are explained with intuitive explanations, full-color graphics, and real-world case studies. A dedicated chapter on model performance evaluation ties metrics directly to business context, ensuring your models are robust and actionable. The Complete End-to-End Project: The culmination of the book is a full-scale case study that walks you through a complete project—from framing the business problem and data acquisition to final model deployment via API. This is the major value-add that prepares you for the job market. What You Will Learn & Implement: Foundations: Data visualization, statistical refreshers, linear/logistic regression, and robust model evaluation. Core Machine Learning: Regularization (Ridge, Lasso), decision trees, ensemble methods (Random Forests, Gradient Boosting), unsupervised learning (PCA, t-SNE, clustering). Advanced Frameworks: Support Vector Machines, neural networks, CNNs for images, and RNNs for sequential data. Specialized Mastery: Techniques for interpretability (XAI), feature engineering, and working with unstructured text and image data. Deployment & Strategy: Essentials of MLOps, model deployment patterns, and navigating the trade-offs between bias, variance, and complexity. Who is This Book For? This book is ideal for university students in statistics, computer science, and data science; aspiring and practicing data scientists and analysts; and any professional or enthusiast who needs to intelligently apply statistical learning techniques using Python to extract meaningful insights from complex data. It is the perfect successor and companion for readers of the classic An Introduction to Statistical Learning with Applications in R (ISLR) who are now working in Python ecosystems. Gain the conceptual understanding and the practical expertise to build, interpret, and deploy intelligent models.