LibGuides: OER &amp; Other Free or Low-Cost Resources: Math: Statistics

Statistics

Introduction to Statistical Thinking "The target audience for this book is college students who are required to learn statistics, students with little background in mathematics and often no motivation to learn more." By Benjamin Yakir, Hebrew U.
Statistical Thinking for Managerial Decisions "This Web site is a course in statistics appreciation; i.e., acquiring a feeling for the statistical way of thinking. It contains various useful concepts and topics at many levels of learning statistics for decision making under uncertainties. The cardinal objective for this Web site is to increase the extent to which statistical thinking is merged with managerial thinking for good decision making under uncertainty."
Introductory Business Statistics (OpenStax textbook)
Introductory Statistics (OpenStax textbook) This free, online textbook is "geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs."
Introductory Statistics (textbook) Online textbook, from Saylor Academy.
Mostly Harmless Statistics (Open Textbook Library) "This text is for an introductory level probability and statistics course with an intermediate algebra prerequisite. . . . The examples resonate with everyday life, the text is approachable, and has a conversational tone to provide an inclusive and easy to read format for students."
Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics "This is a first draft of a free . . . textbook for a one-semester, undergraduate statistics course." From Open Textbook Library.

Introduction to Statistics (video course) From Big Bend Community College.
Statistics Courses (edx.org) Free, online statistics courses, from Harvard's edx.org.
Introduction to Statistics (course) Free, online course, from Stanford U.
Basic Statistics (course) "In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them." From U of Amsterdam.
Probability & Statistics (course) "ntroductory-level course teaches students the basic concepts of statistics and the logic of statistical reasoning. Designed for students with no prior knowledge in statistics, its only prerequisite is basic algebra. Includes a classical treatment of probability." From Carnegie Mellon U's Open Learning Initiative.

Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists by Joel Best
Call Number: 303.38 B561d 2012
ISBN: 9780520274709
Publication Date: 2012-08-07
In print in Holman Library Main Collection or online in ProQuest or Ebsco. Links to Ebsco
More Damned Lies and Statistics: How Numbers Confuse Public Issues by Joel Best
Call Number: eBook
ISBN: 0-520-23830-3
Publication Date: 2004
Available online in Ebook Central
Elements of Statistics : A Hands-On Primer by Raghubar D Sharma
Call Number: Ebook
ISBN: 9781527527683
Publication Date: 2021
Using Statistics: A Gentle Introduction by Gordon Rugg Written in an informal style, this book guides the reader gently through the field from the simplest descriptive statistics to multidimensional approaches. It's written in an accessible way, with few calculations and fewer equations, for readers from a broad set of academic disciplines ranging from archaeology to zoology.
Call Number: Ebook
ISBN: 1281331031
Publication Date: 2010
Statistics Done Wrong: The Woefully Complete Guide by Alex 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. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan How to think about p values, significance, insignificance, confidence intervals, and regression Choosing the right sample size and avoiding false positives Reporting your analysis and publishing your data and source code Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
Call Number: Ebook
ISBN: 1593276206
Publication Date: 2015
Dr. Laurie's Introduction to Statistical Methods by Laurie Grahm Dodge
Call Number: Ebook
ISBN: 1884585469
Publication Date: 2003

StatisticsLectures.com Access to over 500 lectures and videos, in addition to calculators and computer tutorials.
Discovering Math: Advanced—Statistics and Data Analysis: Part 1 "In this Discovering Math video, viewers will consider methods of displaying data, measures of central tendency, measures of variability, correlation, and line-fitting methods. Topics include: tables, bar graphs, histograms, scatter plots, line graphs, mean-mode-median, standard deviation, curve fitting line, median-fit line, and least-squares regression line. " Streaming video.
Discovering Math: Advanced—Statistics and Data Analysis: Part 2 "In this Discovering Math video, viewers will consider outliers in data sets, aspects of data interpretation, sampling, and error and uncertainty in statistical inference. Topics include: random samples, biased samples, representative samples, stratified samples, mean, confidence interval, measurement error, misleading data, bias, and data misinterpretation." Streaming video.
Understanding Confidence Intervals: Statistics Help Four-minute video from Statistics Learning Centre.
Khan Academy: Statistics & Probability Lessons, including streaming videos, from Khan Academy.
Introduction to Statistics (video course) From Big Bend Community College.
Inferential Statistics "Using magic and circus motifs, this [video] program demonstrates the significance of probability theory and the importance of using the correct test to analyze research data. Host . . . Setting significance levels, tests of difference, the sign test, degrees of freedom, Yates correction, expected frequencies, parametric tests, and plastic interval scales are explored." 36 minutes.
Behind the Statistics Sampling, correlations, and experimental design. 19-minute video.
Statistics & Probability (HippoCampus) Videos and animations explaining various concepts in probability and statistics.
Introduction to Statistics and the Relative Frequency Histogram - Streaming video.
JB Statistics Videos on probability, discrete random variables, sampling distribution, confidence intervals, t distributions, etc. From Jeremy Balka, math prof at U. of Guelph. Most videos run about 10-20 minutes.
How Statistics Can Be Misleading "Statistics are persuasive. So much so that people, organizations, and whole countries base some of their most important decisions on organized data. But any set of statistics might have something lurking inside it that can turn the results completely upside down. Mark Liddell investigates Simpson’s paradox." 4-minute TED-Ed video
Why You Should Love Statistics A TED Talk by Alan Smith

StatisticsLectures.com Access to over 500 lectures and videos, in addition to calculators and computer tutorials.
Project Euclid
Mathematics and statistics journals: 70% are freely-available online.
Rice Virtual Lab in Statistics "Online statistics open [multimedia] textbook and additional resources to assist students in understanding of statistics. . . . The applets in the simulations, demonstrations, and case studies are in the public domain."