tag:open.umn.edu,2005:/opentextbooks/textbooks?page=3&term=statisticsOpen Textbook Library - Search results for "statistics"2021-10-13T15:34:30Zhttps://open.umn.edu/assets/common/favicon/favicon-1594c2156c95ca22b1a0d803d547e5892bb0e351f682be842d64927ecda092e7.icohttps://open.umn.edu/assets/library/otl_logo-f9161d5c999f5852b38260727d49b4e7d7142fc707ec9596a5256a778f957ffc.png10832021-10-13T15:34:30Z2024-01-22T14:52:28ZMostly Harmless Statistics<img alt="Read more about Mostly Harmless Statistics" title="Mostly Harmless Statistics cover image" class="cover " width="116" height="150" data-controller="common--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.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="common--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.11912022-06-19T20:40:04Z2024-03-18T21:55:32ZStatistics for Research Students<img alt="Read more about Statistics for Research Students" title="Statistics for Research Students cover image" class="cover " width="350" height="467" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6Mzc2NiwicHVyIjoiYmxvYl9pZCJ9fQ==--a59dc9fd35442b73e22412d3bba847a3219563a9/Stats-cover-2-350x467.png" />This book aims to help you understand and navigate statistical concepts and the main types of statistical analyses essential for research students.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="common--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.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="common--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.16252024-03-17T02:29:08Z2024-03-18T16:57:08ZStatistics 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="common--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.15172023-10-21T17:57:34Z2023-11-06T22:42:03ZCommunity interventions in obesity-related chronic diseases<img alt="Read more about Community interventions in obesity-related chronic diseases" title="Community interventions in obesity-related chronic diseases cover image" class="cover " width="810" height="1049" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6MTAwODEsInB1ciI6ImJsb2JfaWQifX0=--2bf288fcf3015e5f64827ca98c723f00d9dc14e4/Screenshot%202023-10-21%20at%2012.42.57%20PM.png" />The rate of obesity continues to climb in the United States in all age groups. National reports, including the Trust for America’s Health annual report State of Obesity: Better Policies for a Healthier America, highlight key findings and policy recommendations. The need to continue to work towards stabilization of the obesity epidemic could not be more important as consequences of this chronic disease can be dire, potentially affecting physical health with an increase in risk for chronic diseases including cardiovascular disease, type 2 diabetes and several types of cancer as well as potentially affecting behavioral health. Curbing the high rates of obesity is particularly of importance when considering the prevalence of childhood obesity, which is on the rise not only in the United States but is also increasing globally. Although there are certain risk factors such as genetics that are not modifiable in this group, there are many dietary, physical activity and environmental factors that are modifiable through lifestyle changes. This course will explore ways to address these lifestyle changes for children through adults with both federally- and NGO- based community interventions that are working towards combating overweight and obesity and how they aim to do so with a health equity lens in mind.15132023-10-19T15:43:28Z2023-10-19T15:43:52ZQuantitative Methods for Plant Breeding<img alt="Read more about Quantitative Methods for Plant Breeding" title="Quantitative Methods for Plant Breeding cover image" class="cover " width="350" height="453" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTk4OCwicHVyIjoiYmxvYl9pZCJ9fQ==--586cec0f0a57356619720ffc33b1855e5221b74b/quantitativemethods-cover-350x453.png" />This open textbook covers common statistics used in agriculture research, including experimental design in plant breeding and genetics, as well as the analysis of variance, regression, and correlation.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="common--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.14822023-08-29T04:35:19Z2023-10-30T14:38:22ZReCentering Psych Stats<img alt="Read more about ReCentering Psych Stats" title="ReCentering Psych Stats cover image" class="cover " width="1094" height="1513" data-controller="common--cover" data-placeholder="/assets/common/placeholder-0e0607cbc50663ddb9e8fd188058bcd2630c730ef6ee322801278607b7d5af8e.png" src="/rails/active_storage/blobs/redirect/eyJfcmFpbHMiOnsiZGF0YSI6OTQ2OSwicHVyIjoiYmxvYl9pZCJ9fQ==--fec796b1c970a1a9b66d6eece95bcd32ec7981d4/ReCenterPsychStats-bookcover2.jpg" />To center a variable in regression means to set its value at zero and interpret all other values in relation to this reference point. Regarding race and gender, researchers often center male and White at zero. Further, it is typical that research vignettes in statistics textbooks are similarly seated in a White, Western (frequently U.S.), heteronormative, framework. ReCentering Psych Stats seeks provide statistics training for psychology students (undergraduate, graduate, and post-doctoral) in a socially and culturally responsive way. All lessons use the open-source statistics program, R (and its associated packages). Each lesson includes a chapter and screencasted lesson, features a workflow for statistical decision-making, and includes all R code necessary to conduct the statistic. Research vignettes are drawn from the published psychology literature. When possible, these articles are authored by individuals who hold identities that have, been marginalized in the scientific literature; correctly use the statistic that is being taught in the lesson; and focus on issues of justice, equity, inclusion, or and diversity. When possible, lessons include interviews with researchers from the featured vignettes. Each chapter includes suggestions for practice that are graded in complexity, such that learners can choose the degree of challenge. ReCentering Psych Stats is perpetually-in-progress; suggestions for corrections or chapters are welcomed: ReCenteringPsychStats@spu.edu
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