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Whether you’re a student or an adult looking to refresh your knowledge, Barron’s Painless Statistics provides review and practice in an easy, step-by-step format. An essential resource for: Virtual learning Homeschool Learning pods Supplementing classes/in-person learning Inside you’ll find: Clear examples for all topics, including data and distributions, basic probability, confidence intervals, bivariate statistics, and much more Diagrams, charts, and instructive math illustrations Painless tips, common pitfalls, and informative sidebars Math talk boxes that translate complex “math speak” into easy-to-understand language Brain Tickler quizzes throughout each chapter to test your progress
Statistical Methods for the Information Professional by Liwen Vaughan Pdf
For most of us, "painless" is not the word that comes to mind when we think of statistics, but author and educator Liwen Vaughan wants to change that. In this unique and useful book, Vaughan clearly explains the statistical methods used in information science research, focusing on basic logic rather than mathematical intricacies. Her emphasis is on the meaning of statistics, when and how to apply them, and how to interpret the results of statistical analysis. Through the use of real-world examples, she shows how statistics can be used to improve services, make better decisions, and conduct more effective research. Whether you are doing statistical analysis or simply need to better understand the statistics you encounter in professional literature and the media, this book will be a valuable addition to your personal toolkit. Includes more than 80 helpful figures and tables, 7 appendices, bibliography, index.
Includes section, "Recent book acquisitions" (varies: Recent United States publications) formerly published separately by the U.S. Army Medical Library.
The Labour Market Ate My Babies by Barbara Pocock Pdf
Listed in top 50 Management Books for 2006 in the Australian Financial Review BOSS magazine, January 2007, Volume 8.In The Labour Market Ate My Babies Barbara Pocock, acclaimed author of The Work/Life Collision, examines the impact of modern working life on our children. In this book, young Australians from all over the country, city and the bush, rich and poor, talk about the good and bad of parental work - the trade off between money and time, consumer riches versus time for each other. Pocock argues that the modern labour market is having a huge impact on today's youth and eating into our capacity to care. Children have become a 'market'. Caring for kids and selling to kids is big business, as stressed, time-poor parents struggle to care for their children and salve their guilt with presents and pocket money. How will this future generation of workers weigh up the labour market and organise their lives? The Labour Market Ate My Babies argues that a sustainable future requires new policy approaches to work that incorporate the perspectives of children. We should:ensure that parents get the time they need away from work when they need it help parents get a good fit between how they want to work, and how they have to provide quality, low cost, public childcare options stop advertising to kids in ways that stimulate an early work/spend cycle.It's good to get money coming in and probably it's good to work as hard as you can when you're younger so when you're older you can retire with some money. But there should probably be a limit to how much before your relationships with other people start to strain because you are never there (Adam, 16)
Illustrating Statistical Procedures: Finding Meaning in Quantitative Data by Ray W. Cooksey Pdf
This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.
Mathematician and popular science author Eugenia Cheng is on a mission to show you that mathematics can be flexible, creative, and visual. This joyful journey through the world of abstract mathematics into category theory will demystify mathematical thought processes and help you develop your own thinking, with no formal mathematical background needed. The book brings abstract mathematical ideas down to earth using examples of social justice, current events, and everyday life – from privilege to COVID-19 to driving routes. The journey begins with the ideas and workings of abstract mathematics, after which you will gently climb toward more technical material, learning everything needed to understand category theory, and then key concepts in category theory like natural transformations, duality, and even a glimpse of ongoing research in higher-dimensional category theory. For fans of How to Bake Pi, this will help you dig deeper into mathematical concepts and build your mathematical background.
Advances in Artificial Systems for Logistics Engineering by Zhengbing Hu,Qingying Zhang,Sergey Petoukhov,Matthew He Pdf
The book comprises high-quality refereed research papers presented at the Second International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2022), held in Kyiv, Ukraine, on February 20–22, 2022, organized jointly by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute," Wuhan University of Technology, Nanning University, National Aviation University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in artificial intelligence and its applications in logistics engineering.
Online Research Essentials by Brenda Russell,John Purcell Pdf
Online Research Essentials Designing and Implementing Research Studies Online Research Essentials Written by experts in the field, Online Research Essentials provides step-b-step guidance to the student or new practitioner in how to create, test, and deploy online survey research. The book includes everything needed for planning and developing a survey, putting it online, and formatting data for further analysis. Russell and Purcell provide support for using the popular Microsoft Expression Web and Adobe Dreamweaver web page authoring tools and for using the Access database that is used to collect and store survey results. Online Research Essentials is a comprehensive resource that discusses the practical aspects of survey development and applied research and offers information on a wide range of research-related topics that include: Scientific method and research design Ethical considerations on using the Internet for research Creating web pages Planning the research study Creating a simple survey on the Internet Developing an e-survey Creating more complicated Internet surveys Sampling procedures Developing experimental designs JavaScript and web programming and advanced JavaScript programming Repeated measures and matched group designs
Practical Business Statistics by Andrew F. Siegel,Michael R. Wagner Pdf
Practical Business Statistics, Eighth Edition, offers readers a practical, accessible approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book fosters deep understanding of both how to learn from data and how to deal with uncertainty, while promoting the use of practical computer applications. This trusted resource teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results. The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details. Provides users with a conceptual, realistic, and matter-of-fact approach to managerial statistics Offers an accessible approach to teach present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand concepts and to interpret results Features updated examples and images to illustrate important applied uses and current business trends Includes robust ancillary instructional materials such as an instructor’s manual, lecture slides, and data files
Navigating the Doctoral Journey by Amanda J. Rockinson-Szapkiw,Lucinda S. Spaulding Pdf
This co-edited book provides doctoral candidates with a practical, cross-discipline handbook for successfully navigating the doctoral process – from initial program selection to the final dissertation defense and preparing for the faculty interview. Invited chapters from established higher education experts cover topics ranging from university and program selection, preparing for comprehensive exams and dissertation research, self-care and self-management strategies, and recommendations for maintaining personal and professional support systems. Each chapter includes strategies for success and practical tips, including how to create a study guide for the comprehensive examination, how to create a professional support group, how to talk to your family about the doctoral process, how to select and work with a chair and committee, how to identify an appropriate research design, how to navigate the IRB process, and how to master the research and writing process.
Essential Statistics for Non-STEM Data Analysts by Rongpeng Li Pdf
Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data using Python programming Key FeaturesWork your way through the entire data analysis pipeline with statistics concerns in mind to make reasonable decisionsUnderstand how various data science algorithms functionBuild a solid foundation in statistics for data science and machine learning using Python-based examplesBook Description Statistics remain the backbone of modern analysis tasks, helping you to interpret the results produced by data science pipelines. This book is a detailed guide covering the math and various statistical methods required for undertaking data science tasks. The book starts by showing you how to preprocess data and inspect distributions and correlations from a statistical perspective. You’ll then get to grips with the fundamentals of statistical analysis and apply its concepts to real-world datasets. As you advance, you’ll find out how statistical concepts emerge from different stages of data science pipelines, understand the summary of datasets in the language of statistics, and use it to build a solid foundation for robust data products such as explanatory models and predictive models. Once you’ve uncovered the working mechanism of data science algorithms, you’ll cover essential concepts for efficient data collection, cleaning, mining, visualization, and analysis. Finally, you’ll implement statistical methods in key machine learning tasks such as classification, regression, tree-based methods, and ensemble learning. By the end of this Essential Statistics for Non-STEM Data Analysts book, you’ll have learned how to build and present a self-contained, statistics-backed data product to meet your business goals. What you will learnFind out how to grab and load data into an analysis environmentPerform descriptive analysis to extract meaningful summaries from dataDiscover probability, parameter estimation, hypothesis tests, and experiment design best practicesGet to grips with resampling and bootstrapping in PythonDelve into statistical tests with variance analysis, time series analysis, and A/B test examplesUnderstand the statistics behind popular machine learning algorithmsAnswer questions on statistics for data scientist interviewsWho this book is for This book is an entry-level guide for data science enthusiasts, data analysts, and anyone starting out in the field of data science and looking to learn the essential statistical concepts with the help of simple explanations and examples. If you’re a developer or student with a non-mathematical background, you’ll find this book useful. Working knowledge of the Python programming language is required.