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An Intuitive, Interactive, Introduction to Biostatistics
Copyright Year: 2023
Contributors: Ward and Nolte
Publisher: University of Iowa
License: CC BY-NC
"An Intuitive, Interactive Introduction to Biostatistics" is an introductory statistics textbook oriented towards towards undergraduate students in the health sciences. While covering the breadth of material typically presented in a first semester statistics course, including introductions to probability and distributions, study design, CLT, hypothesis testing, and inference, IIIB distinguishes itself with its focus on cultivating student intuition through the use of guided questions and interactive simulation-based applets. Written in R, this open-source text has been created with customizability in mind, offering instructors maximal flexibility in arranging and modifying the content.
(1 review)
Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach
Copyright Year: 2023
Contributors: Castro and Mordkoff
Publisher: University of Iowa Libraries
License: CC BY-NC-SA
This open resources textbook contains 10 Units that describe and explain the main concepts in statistical analysis of psychological data. In addition to conceptual descriptions and explanations of the basic analyses for descriptive statistics, this textbook also explains how to conduct those analyses with common statistical software (Excel) and open-source free software (R).
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(0 reviews)
Technical Writing and Simple Statistics : for laboratory classes
Copyright Year: 2022
Contributor: Wettstein
Publisher: TRAILS
License: CC BY-NC
This upper division resource focuses on how to communicate results through technical writing, use Excel to perform simple statistics, and create professional charts/documents. Excel tutorials are provided for performing descriptive statistics, t-tests, and linear regression as well as using text boxes, formatting figures and captions, and using Equation Editor to insert equations. Additionally, guidance and examples of different communication components are provided along with team writing strategies and guidelines on how to hold efficient meetings.
(1 review)
Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys
Copyright Year: 2022
Contributor: Kindratt
Publisher: Mavs Open Press
License: CC BY
National data sets provide an avenue for students to practice data analytic skills while also answering meaningful research questions. This open education resource was developed to train future public health professionals how to conduct secondary data analysis of national health surveys using SAS statistical software. SAS software was selected because it is one of the most commonly used software programs used among public health departments and academia. The book includes details on how to analyze public-use data from five common national health surveys, including the National Health Interview Survey (NHIS), Medical Expenditure Panel Survey (MEPS), Health Information National Trends Survey (HINTS), Behavior Risk Factor Surveillance System (BRFSS) and National Health and Nutrition and Examination Survey (NHANES). All datasets and corresponding syntax files are available from the Open ICPSR Data Repository.
(2 reviews)
Introduction to Applied Statistics for Psychology Students
Copyright Year: 2022
Contributor: Sarty
Publisher: University of Saskatchewan
License: CC BY-NC-SA
Introduction to Applied Statistics for Psychology Students, by Gordon E. Sarty (Professor, Department of Psychology, University of Saskatchewan) began as a textbook published in PDF format, in various editions between 2014-2017. The book was written to meet the needs of University of Saskatchewan psychology students at the undergraduate (PSY 233, PSY 234) level.
(1 review)
Mostly Harmless Statistics
Copyright Year: 2021
Contributor: Webb
Publisher: Portland State University Library
License: CC BY-SA
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). Software examples provided for Microsoft Excel, TI-84 & TI-89 calculators. A formula packet and pdf version of the text are available on the website http://mostlyharmlessstatistics.com. Students new to probability and statistics are sure to benefit from this fully ADA accessible and relevant textbook. 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.
(1 review)
Intermediate Statistics with R
Copyright Year: 2021
Contributor: Greenwood
Publisher: Montana State University
License: CC BY-NC
Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis “looks like”. Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. This is Version 3.0 of the book.
(2 reviews)
Introduction to Statistical Thinking
Copyright Year: 2010
Contributor: Yakir
Publisher: Benjamin Yakir
License: CC BY
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. It is assumed that the students do have basic skills in using computers and have access to one. Moreover, it is assumed that the students are willing to actively follow the discussion in the text, to practice, and more importantly, to think.
(1 review)
PSYC 2200: Elementary Statistics for the Behavioral and Social Sciences
Copyright Year: 2021
Contributor: Oja
Publisher: LibreTexts
License: CC BY-SA
Welcome to behavioral statistics, a statistics textbook for social science majors!
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(0 reviews)
Statistical Thinking for the 21st Century
Copyright Year: 2018
Contributor: Poldrack
Publisher: Russell Poldrack
License: CC BY-NC
Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.
(1 review)