FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
|
|
- Title Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics
- Author(s) Jonathan A. Poritz
- Publisher: CreateSpace (May 13, 2017); eBook (Creative Commons Licensed)
- License(s): CC BY-NC-SA 4.0
- Paperback: 142 pages
- eBook: PDF
- Language: English
- ISBN-10: 1984064584
- ISBN-13: 978-1984064585
- Share This:
The the goal of this book to help you learn How to Tell the Truth with Statistics and, therefore, how to tell when others are telling the truth ... or are faking their "news".
This is a textbook for a one-semester, undergraduate statistics course. It covers Data Analysis, Binomial and normal models, Sample statistics, confidence intervals, hypothesis tests, linear regression and correlation, and chisquare tests, etc.
About the Authors- Benjamin Yakir is a Professor of Statistics at The Hebrew University of Jerusalem.
- Statistics, Mathematical Statistics
- Probability, Stochastic Process, Queueing Theory, etc.
- Data Processing, Data Analysis and Data Mining
- Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics (Jonathan A. Poritz)
- The Mirror Site (1) - HTML and PDF
- A Field Guide To Lies: Critical Thinking With Statistics And The Scientific Method
-
Statistics Done Wrong: The Woefully Complete Guide (Reinhart)
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong.
-
Statistical Thinking for the 21st Century (Russell A. Poldrack)
Statistical thinking is increasingly essential to making informed decisions based on uncertain data. This book provides the tools to describe complex patterns that emerge from data and to make accurate predictions and decisions based on data.
-
Introduction to Statistical Thought (Michael Lavine)
The book is intended as an upper level undergraduate or introductory graduate textbook in statistical thinking with a likelihood emphasis for students with a good knowledge of calculus and the ability to think abstractly.
-
Introduction to Statistical Thinking (Benjamin Yakir)
This book offers a detailed, illustrated breakdown of the fundamentals of statistics. Develop and use formal logical thinking abilities to understand the message behind numbers and charts in science, politics, and economy.
-
Foundations in Statistical Reasoning (Pete Kaslik)
This book is designed for students taking an introductory statistics class. The emphasis throughout the entire book is on how to make decisions with only partial evidence. It focuses on the thought process.
-
Mostly Harmless Statistics (Rachel L. Webb)
This text is for an introductory level probability and statistics course with an intermediate algebra prerequisite. The focus of the text follows the American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education (GAISE).
-
Revealing Statistical Principles (Jim K. Lindsey)
Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. Accessible to a wide audience with little background in statistics.
-
Introduction to Modern Statistics (Mine Çetinkaya-Rundel, et al.)
This book puts a heavy emphasis on exploratory data analysis and provides a thorough discussion of simulation-based inference using randomization and bootstrapping, followed by a presentation of the related Central Limit Theorem based approaches.
-
Answering Questions with Data : Introductory Statistics
This is a free textbook teaching introductory statistics for undergraduates. Students will learn to select an appropriate data analysis technique, carry out the analysis, and draw appropriate conclusions.
:
|
|