Analyzing Linguistic Data: Chapter 3 – Probability, Distributions, and Statistical Inference

Описание: 🎓 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.

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