How To Ace Statistics 101
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Statistics 101
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Author : David Borman
language : en
Publisher: Simon and Schuster
Release Date : 2018-12-18
Statistics 101 written by David Borman and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-18 with Mathematics categories.
A comprehensive guide to statistics—with information on collecting, measuring, analyzing, and presenting statistical data—continuing the popular 101 series. Data is everywhere. In the age of the internet and social media, we’re responsible for consuming, evaluating, and analyzing data on a daily basis. From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you’ll learn the basics of statistics in a way that is both easy-to-understand and apply. From learning the theory of probability and different kinds of distribution concepts, to identifying data patterns and graphing and presenting precise findings, this essential guide can help turn statistical math from scary and complicated, to easy and fun. Whether you are a student looking to supplement your learning, a worker hoping to better understand how statistics works for your job, or a lifelong learner looking to improve your grasp of the world, Statistics 101 has you covered.
How To Ace Statistics 101
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Author : Anthony Rodriguez
language : en
Publisher:
Release Date : 2016-04-01
How To Ace Statistics 101 written by Anthony Rodriguez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-01 with categories.
Do you want to get an A+ in Statistics 101? This book will show you how! The book is a bargain-priced, user-friendly textbook about descriptive statistics, probability, and inferential statistics (including non-parametric testing). Unlike today's textbooks, the book displays no superfluous glitz, just useful information. And, for the examples, the book includes calculations by hand.
Statistical Thinking From Scratch
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Author : M. D. Edge
language : en
Publisher: Oxford University Press, USA
Release Date : 2019-06-13
Statistical Thinking From Scratch written by M. D. Edge and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-13 with categories.
Researchers across the natural and social sciences find themselves navigating tremendous amounts of new data. Making sense of this flood of information requires more than the rote application of formulaic statistical methods. The premise of Statistical Thinking from Scratch is that students who want to become confident data analysts are better served by a deep introduction to a single statistical method than by a cursory overview of many methods. In particular, this book focuses on simple linear regression-a method with close connections to the most important tools in applied statistics-using it as a detailed case study for teaching resampling-based, likelihood-based, and Bayesian approaches to statistical inference. Considering simple linear regression in depth imparts an idea of how statistical procedures are designed, a flavour for the philosophical positions one assumes when applying statistics, and tools to probe the strengths of one's statistical approach. Key to the book's novel approach is its mathematical level, which is gentler than most texts for statisticians but more rigorous than most introductory texts for non-statisticians. Statistical Thinking from Scratch is suitable for senior undergraduate and beginning graduate students, professional researchers, and practitioners seeking to improve their understanding of statistical methods across the natural and social sciences, medicine, psychology, public health, business, and other fields.
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.
Online Statistics Education
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Author : David M Lane
language : en
Publisher:
Release Date : 2014-12-02
Online Statistics Education written by David M Lane and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-02 with categories.
Online Statistics: An Interactive Multimedia Course of Study is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.This print edition of the public domain textbook gives the student an opportunity to own a physical copy to help enhance their educational experience. This part I features the book Front Matter, Chapters 1-10, and the full Glossary. Chapters Include:: I. Introduction, II. Graphing Distributions, III. Summarizing Distributions, IV. Describing Bivariate Data, V. Probability, VI. Research Design, VII. Normal Distributions, VIII. Advanced Graphs, IX. Sampling Distributions, and X. Estimation. Online Statistics Education: A Multimedia Course of Study (http: //onlinestatbook.com/). Project Leader: David M. Lane, Rice University.
Ez 101 Statistics
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Author : Peter Eisen
language : en
Publisher: Barrons Educational Series
Release Date : 2009-08-01
Ez 101 Statistics written by Peter Eisen and has been published by Barrons Educational Series this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-01 with Mathematics categories.
Books in the EZ-101 Study Keys series are intended as brush-up reviews for a variety of college-101 courses. They are designed as a set of classroom "notes" that reflect typical lecture material presented in a classroom over the course of a semester. As such, they make handy supplements to college textbooks and serve as valuable pre-exam reviews. This overview of statistics covers nine general themes: descriptive statistics, shape, probability, probability distributions, planning a study, the population proportion, the population mean, Chi-square analysis, and regression analysis.
Practical Statistics For Data Scientists
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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-10
Practical Statistics For Data Scientists written by Peter Bruce 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 2017-05-10 with Computers categories.
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
Introductory Statistics 2e Hardcover Full Color
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Author : Barbara Illowsky
language : en
Publisher:
Release Date : 2023-12-14
Introductory Statistics 2e Hardcover Full Color written by Barbara Illowsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Business & Economics categories.
Book Publication Date: Dec 13, 2023. Full color. Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills.
Think Bayes
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Author : Allen Downey
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-09-12
Think Bayes written by Allen Downey 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 2013-09-12 with Computers categories.
If you know how to program with Python, and know a little about probability, you're ready to tackle Bayesian statistics. This book shows you how to use Python code instead of math to help you learn Bayesian fundamentals. Once you get the math out of the way, you'll be able to apply these techniques to real-world problems.
Reading Statistics And Research
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Author : Schuyler W. Huck
language : en
Publisher: Allyn & Bacon
Release Date : 2000
Reading Statistics And Research written by Schuyler W. Huck and has been published by Allyn & Bacon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Business & Economics categories.
This text explains to consumers of research how to read, understand, and critically evaluate the statistical information contained in technical research reports. Excerpts from over 500 recent research articles are presented and discussed to illustrate concepts.