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    Read more about Technical Writing and Simple Statistics : For laboratory classes

    Technical Writing and Simple Statistics : For laboratory classes

    Copyright Year:

    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.

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    Read more about Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach

    Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach

    Copyright Year:

    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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    Read more about An Intuitive, Interactive, Introduction to Biostatistics

    An Intuitive, Interactive, Introduction to Biostatistics

    Copyright Year:

    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.

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    Read more about Polimetrics: A Stata Companion to Introduction to Political Science Research Methods - 1st Edition

    Polimetrics: A Stata Companion to Introduction to Political Science Research Methods - 1st Edition

    Copyright Year:

    Contributor: Franco

    Publisher: Open Political Science (OPoliSci)

    License: CC BY-NC

    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.

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    Read more about Introduction to Probability

    Introduction to Probability

    Copyright Year:

    Contributor: Baxter

    Publisher: John R. Baxter

    License: CC BY-SA

    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.

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    Read more about Statistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models

    Statistics for Ecologists: A Frequentist and Bayesian Treatment of Modern Regression Models

    Copyright Year:

    Contributor: Fieberg

    Publisher: University of Minnesota Libraries Publishing

    License: CC BY

    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.

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    Read more about Statistics Through an Equity Lens [Revised Edition]

    Statistics Through an Equity Lens [Revised Edition]

    Copyright Year:

    Contributor: Anthony

    Publisher: ROTEL

    License: CC BY-NC-SA

    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.

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    Read more about Basic Statistics Using R for Crime Analysis

    Basic Statistics Using R for Crime Analysis

    Copyright Year:

    Contributor: Choi

    Publisher: The Pennsylvania Alliance for Design of Open Textbooks (PA-ADOPT)

    License: CC BY-SA

    Limited access to subscription-based statistical software poses obstacles when students want to apply the skills they acquired in college. Although students may learn programs like SPSS or Stata while at the university, they often find themselves unable to continue using these programs after graduation, making their acquired skills obsolete. As an open-source software program, R offers a solution to this challenge. It is freely accessible to anyone, including students, after they graduate. Therefore, I decided to write a freely available book for those interested in becoming crime analysts, focusing on learning statistics without delving too deeply into mathematics. Moreover, this book emphasizes practical applications by utilizing R for data analysis, ensuring students can develop relevant skills beyond the university. I hope that students can easily follow the instructions in this book and replicate the same outcomes using the provided data. This practical experience will demonstrate the value of statistics and R, ideally inspiring students to further their learning in these areas.

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    Read more about Learning Statistics with jamovi: A Tutorial for Beginners in Statistical Analysis

    Learning Statistics with jamovi: A Tutorial for Beginners in Statistical Analysis

    Copyright Year:

    Contributors: Navarro and Foxcroft

    Publisher: Open Book Publishers

    License: CC BY-SA

    Based on Danielle Navarro’s widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jamovi, as well as how to get to grips with statistics and data manipulation. Lucid and easy to understand, Learning Statistics with jamovi covers the analysis of contingency tables, t-tests, correlation, regression, ANOVA and factor analysis, while also giving students a firm grounding in descriptive statistics and graphing. It includes learning aids for applying statistical principles using the jamovi interface, as well as embedded data files to accompany the book, and comprehensive chapters on probability theory, sampling and estimation, and null hypothesis testing. Freely available in open access, Learning Statistics with jamovi is an ideal introduction for undergraduate and postgraduate students of psychology, as well as behavioural and health science students and anyone who needs to understand and use statistical analysis in their work.

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    Read more about Statistics with JASP: First Steps for Psychology Students

    Statistics with JASP: First Steps for Psychology Students

    Copyright Year:

    Contributors: Denniss and Naneva

    Publisher: University of Sheffield

    License: CC BY-NC-SA

    New to statistics software? This guide is designed just for you. Whether you are studying psychology or any subject that involves analysing data, this easy-to-follow introduction to JASP will help you get to grips with the basics—no previous experience needed. Originally written for first-year psychology students at the University of Sheffield, it walks you through everything from entering data and adjusting settings to running t-tests, correlations, and chi-square analyses. With clear explanations, practical tips, and helpful screenshots, this guide makes learning JASP simple and stress-free.

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