tag:open.umn.edu,2005:/opentextbooks/subjects/statisticsOpen Textbook Library - Statistics Textbooks2024-03-17T02:21:08Zhttps://open.umn.edu/assets/common/favicon/favicon-1594c2156c95ca22b1a0d803d547e5892bb0e351f682be842d64927ecda092e7.icohttps://open.umn.edu/assets/library/otl_logo-f9161d5c999f5852b38260727d49b4e7d7142fc707ec9596a5256a778f957ffc.png16252024-03-17T02:29:08Z2024-03-18T16:57:08ZStatistics Through an Equity Lens<img alt="Read more about Statistics Through an Equity Lens" title="Statistics Through an Equity Lens cover image" class="cover " width="350" height="453" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MTEzMzksInB1ciI6ImJsb2JfaWQifX0=--6fa5edfb6f4b03ea5cb23131acbda0189aa9f165/081622_RotelProject_Statistics2-002-350x453.jpg" />This Open Educational Resource (OER) carries a significant responsibility by presenting statistics through an equity lens. The metaphor of a lens is used intentionally–as the glasses one wears can have a profound effect on what one sees. The book encourages further inspection of the ways in which data is collected, interpreted, and analyzed on a variety of social justice issues, such as health disparities, hunger and food insecurity, homelessness, behavioral health (mental health and substance use), and incarceration of males of color. It also attempts to reveal how the misuse of data can reinforce inequities, for example, by stigmatizing people and labeling neighborhoods as high poverty, violent, and having poor educational opportunities. Whether an intended or unintended consequence, irresponsible data use can contribute to racist impressions of people and communities.15882024-03-03T20:42:21Z2024-03-03T20:42:21ZStatistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models<img alt="Read more about Statistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models" title="Statistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models cover image" class="cover " width="271" height="350" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MTExNjUsInB1ciI6ImJsb2JfaWQifX0=--feffe8e765afc8a1f9d23bb6640fd9aa537179a0/Statistics4Ecologists.pdf.jpg" />Ecological data pose many challenges to statistical inference. Most data come from observational studies rather than designed experiments; observational units are frequently sampled repeatedly over time, resulting in multiple, non-independent measurements; response data are often binary (e.g., presence-absence data) or non-negative integers (e.g., counts), and therefore, the data do not fit the standard assumptions of linear regression (Normality, independence, and constant variance). This book will familiarize readers with modern statistical methods that address these complexities using both frequentist and Bayesian frameworks.15292023-10-25T03:02:42Z2023-10-25T03:04:18ZIntroduction to Probability<img alt="Read more about Introduction to Probability" title="Introduction to Probability cover image" class="cover " width="736" height="957" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MTAxNDQsInB1ciI6ImJsb2JfaWQifX0=--eeb1f0bad95a9ba2f0020f6595ad1b23f5a4d974/Screenshot%202023-10-24%20at%209.50.32%20PM.png" />This is an introduction to probability theory, designed for self-study. It covers the same topics as the one-semester introductory courses which I taught at the University of Minnesota, with some extra discussion for reading on your own. The reasons which underlie the rules of probability are emphasized. Probability theory is certainly useful. But how does it feel to study it? Well, like other areas of mathematics, probability theory contains elegant concepts, and it gives you a chance to exercise your ingenuity, which is often fun. But in addition, randomness and probability are part of our experience in the real world, present everywhere and yet still somewhat mysterious. This gives the subject of probability a special interest.15102023-10-15T22:29:52Z2023-10-16T23:42:47ZPolimetrics: A Stata Companion to Introduction to Political Science Research Methods - 1st Edition<img alt="Read more about Polimetrics: A Stata Companion to Introduction to Political Science Research Methods - 1st Edition" title="Polimetrics: A Stata Companion to Introduction to Political Science Research Methods - 1st Edition cover image" class="cover " width="608" height="788" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTg4NiwicHVyIjoiYmxvYl9pZCJ9fQ==--884d3e8dfd3a69c08105e507eb9de39c342b97f7/Screenshot%202023-10-15%20at%205.13.07%20PM.png" />Polimetrics: A Stata Companion, authored by Dr. Josh Franco, is an Open Education Resource workbook licensed CC BY-NC and designed as a Stata companion to Introduction to Political Science Research Methods. This workbook provides a tour of the Stata software, an introduction to cross-sectional, time series, and panel data, and an introduction to a variety of models. I review models where the outcome is linear, binary, ordinal, categorical, and count. Additionally, I have an interpretation chapter on survival models. Each “Models” chapter has a similar organizational structure: about, estimated time, what is the model, how are models run in Stata, how do we interpret the model results, and a real-world example of model results in a Creative Commons licensed, peer-reviewed journal article. Additionally, mini-assignment instructions and a rubric are included so students can practice their interpretation skills.13912023-04-09T22:41:53Z2024-01-22T14:52:43ZAn Intuitive, Interactive, Introduction to Biostatistics<img alt="Read more about An Intuitive, Interactive, Introduction to Biostatistics" title="An Intuitive, Interactive, Introduction to Biostatistics cover image" class="cover " width="155" height="200" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6NDY3NCwicHVyIjoiYmxvYl9pZCJ9fQ==--b99fc2d656c8ecfa620b9bb865642df72d6a570b/9984376757802771.jpeg" />"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.13302023-02-06T18:38:59Z2024-01-22T14:52:38ZData Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach<img alt="Read more about Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach" title="Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach cover image" class="cover " width="761" height="1024" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6NDUxOCwicHVyIjoiYmxvYl9pZCJ9fQ==--4d2256103959fd86b9a2eafa62dd21db5ae9513c/CoverBookNamesLCJTM-761x1024.jpeg" />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).8282022-12-06T21:41:38Z2024-03-11T13:29:05ZTechnical Writing and Simple Statistics : for laboratory classes<img alt="Read more about Technical Writing and Simple Statistics : for laboratory classes" title="Technical Writing and Simple Statistics : for laboratory classes cover image" class="cover " width="1700" height="2200" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6NDMzNSwicHVyIjoiYmxvYl9pZCJ9fQ==--4bd08854e1aa7079faa722cb6896ecf651953f2f/20221116%20TRAILS_Wettstein_Cover.jpg" />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. This textbook was designed for Biology and Chemistry majors for a 400 level course.12232022-08-08T16:31:45Z2024-01-22T14:52:33ZBig Data for Epidemiology: Applied Data Analysis Using National Health Surveys<img alt="Read more about Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys" title="Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys cover image" class="cover " width="350" height="525" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6Mzg5MywicHVyIjoiYmxvYl9pZCJ9fQ==--8c742f77413691cbdc2f84cc275283e4171e502a/book.jpeg" />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.11532022-04-08T03:42:27Z2024-02-15T23:24:27ZIntroduction to Applied Statistics for Psychology Students<img alt="Read more about Introduction to Applied Statistics for Psychology Students" title="Introduction to Applied Statistics for Psychology Students cover image" class="cover " width="683" height="1024" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MzUwNywicHVyIjoiYmxvYl9pZCJ9fQ==--f34dea28c0200a607c6e5a96704ca08f0ceae80e/cover-683x1024.jpg" />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. In 2019-2020, funding was provided through the Gwenna Moss Centre for Teaching and Learning, along with technical assistance from the Distance Education Unit, to update and adapt this book, making it more widely available in an easy-to-use and more adaptable digital (Pressbooks) format. The update also made revisions so that the book could be published with a license appropriate for open educational resources (OER). OERs are defined as “teaching, learning, and research resources that reside in the public domain or have been released under an intellectual property license that permits their free use and re-purposing by others” (Hewlett Foundation). This textbook and other OERs like it are openly licensed using a Creative Commons license, and are offered in various digital and e-book formats free of charge. Printed editions of this book can be obtained for a nominal fee through the University of Saskatchewan bookstore.10832021-10-13T15:34:30Z2024-01-22T14:52:28ZMostly Harmless Statistics<img alt="Read more about Mostly Harmless Statistics" title="Mostly Harmless Statistics cover image" class="cover " width="116" height="150" data-controller="cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6Mjk1MywicHVyIjoiYmxvYl9pZCJ9fQ==--b4d98b816486248eac7eca7f69e9b93d5ba53f40/thumbnail%20(2).jpg" />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.
https://open.umn.edu/opentextbooks/subjects/statistics?page=2