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🎓 This chapter introduces the probabilistic foundations underlying statistical inference in linguistics. It explains key probability concepts and common statistical distributions used to model linguistic phenomena, including normal, binomial, Poisson, and gamma distributions. The chapter connects these distributions to real linguistic data such as word frequencies, error rates, and response times. Baayen also introduces confidence intervals, hypothesis testing, and likelihood-based reasoning, framing inference as uncertainty management rather than decision-making via arbitrary thresholds. The discussion prepares readers to understand why linguistic data often violate assumptions of classical statistical tests and why alternative modeling approaches are necessary. 🧠 Each episode features expert discussions, current research insights, and thoughtful explorations of key academic fields such as: Psychology, Neuroscience, and Mental Health Linguistics, Language Acquisition, and Education History, Philosophy, and Sociology Mathematics, Statistics, and Data Science Environmental Science, Biology, and Technology Political Science, Economics, and Global Studies Literature, Critical Theory, and the Arts 🔍 Designed for university-level learners and academic professionals, our podcast episodes break down complex topics into accessible, structured content to support your studies, teaching, or research. 🎤 New episodes every week with interviews, case studies, and curated question sets to help you think deeper, write better, and learn smarter. 📚 Subscribe to Academic Mindcast – where ideas ignite, and academic excellence thrives. probability theory, statistical inference, linguistic distributions, hypothesis testing, confidence intervals, likelihood methods, uncertainty modeling, corpus statistics, experimental linguistics, quantitative reasoning, academic podcast, university podcast, research podcast, education podcast, psychology podcast, science podcast, student learning podcast, academic subjects, higher education podcast, neuroscience podcast, linguistics podcast, data science podcast, academic talk show, scholarly podcast, academic learning YouTube, study podcast, PhD podcast, college podcast, subject-specific podcast, deep dive education podcast, professor podcast