Statistics For Nerds Guide Book Statistics Guidebook Statistics Textbook Learn Statistics Statistics Tutorial Statistics Study Guide
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Statistics For Nerds Guide Book Statistics Guidebook Statistics Textbook Learn Statistics Statistics Tutorial Statistics Study Guide
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Author : Matt Kingsley
language : en
Publisher: Matt Kingsley
Release Date :
Statistics For Nerds Guide Book Statistics Guidebook Statistics Textbook Learn Statistics Statistics Tutorial Statistics Study Guide written by Matt Kingsley and has been published by Matt Kingsley this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
Does the thought of 'standard deviation' make you break out in a cold sweat? Do p-values haunt your dreams? You're not alone! Statistics has a reputation for being dry, confusing, and, well, terrifying. But what if it didn't have to be? Statistics for Nerds is the guidebook that finally makes stats understandable – and maybe even fun (yes, really!). We ditch the confusing jargon, explain everything in plain English, and use real-world examples you can actually relate to. Learn to analyze data, make informed decisions, and conquer your fear of statistics, one nerdy step at a time. This isn't your professor's textbook; it's statistics for the rest of us." "Ready to unlock the power of data? Statistics for Nerds is your secret weapon for transforming raw numbers into meaningful insights. Whether you're a student, a researcher, a business professional, or just someone who wants to understand the world around them, this book will give you the statistical skills you need to succeed. Learn to: Summarize and visualize data like a pro: Master charts, graphs, and descriptive statistics. Draw conclusions from samples: Understand confidence intervals and hypothesis testing. Build statistical models: Explore relationships between variables with regression and ANOVA. Think critically about data: Avoid common statistical pitfalls and misleading results. Use statistical software: Get hands-on with popular tools like R and SPSS. Stop being intimidated by statistics – start using them to your advantage. This book will empower you to make data-driven decisions and achieve your goals."
All Of Statistics
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Author : Larry Wasserman
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-11
All Of Statistics written by Larry Wasserman and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-11 with Mathematics categories.
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.
A Beginner S Guide To Statistics For Criminology And Criminal Justice Using R
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Author : Alese Wooditch
language : en
Publisher: Springer Nature
Release Date : 2021-06-03
A Beginner S Guide To Statistics For Criminology And Criminal Justice Using R written by Alese Wooditch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-03 with Social Science categories.
This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes exercises that reinforce the R tutorial examples, designed to help master the software as well as to provide practice on statistical concepts, data analysis, and interpretation of results. The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020).
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
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
Research In Education
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Author :
language : en
Publisher:
Release Date : 1974
Research In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Education categories.
Resources In Education
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Author :
language : en
Publisher:
Release Date : 2001
Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Education categories.
Subject Guide To Books In Print
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Author :
language : en
Publisher:
Release Date : 1993
Subject Guide To Books In Print written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with American literature categories.
Data Conscience
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Author : Brandeis Hill Marshall
language : en
Publisher: John Wiley & Sons
Release Date : 2022-08-19
Data Conscience written by Brandeis Hill Marshall and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-19 with Computers categories.
DATA CONSCIENCE ALGORITHMIC S1EGE ON OUR HUM4N1TY EXPLORE HOW D4TA STRUCTURES C4N HELP OR H1NDER SOC1AL EQU1TY Data has enjoyed ‘bystander’ status as we’ve attempted to digitize responsibility and morality in tech. In fact, data’s importance should earn it a spot at the center of our thinking and strategy around building a better, more ethical world. It’s use—and misuse—lies at the heart of many of the racist, gendered, classist, and otherwise oppressive practices of modern tech. In Data Conscience: Algorithmic Siege on our Humanity, computer science and data inclusivity thought leader Dr. Brandeis Hill Marshall delivers a call to action for rebel tech leaders, who acknowledge and are prepared to address the current limitations of software development. In the book, Dr. Brandeis Hill Marshall discusses how the philosophy of “move fast and break things” is, itself, broken, and requires change. You’ll learn about the ways that discrimination rears its ugly head in the digital data space and how to address them with several known algorithms, including social network analysis, and linear regression A can’t-miss resource for junior-level to senior-level software developers who have gotten their hands dirty with at least a handful of significant software development projects, Data Conscience also provides readers with: Discussions of the importance of transparency Explorations of computational thinking in practice Strategies for encouraging accountability in tech Ways to avoid double-edged data visualization Schemes for governing data structures with law and algorithms
The Routledge Reviewer S Guide To Mixed Methods Analysis
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Author : Anthony J. Onwuegbuzie
language : en
Publisher: Routledge
Release Date : 2021-07-12
The Routledge Reviewer S Guide To Mixed Methods Analysis written by Anthony J. Onwuegbuzie and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-12 with Psychology categories.
The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
U S Government Books
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Author :
language : en
Publisher:
Release Date : 1987
U S Government Books written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Government publications categories.