Randomness and Probability

Shravan Vasishth () and Michael Broe ()
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Shravan Vasishth: University of Potsdam, Department of Linguistics
Michael Broe: Ohio State University, 1304 Museum of Biological Diversity, Department of Evolution, Ecology & Organismal Biology

Chapter Chapter 2 in The Foundations of Statistics: A Simulation-based Approach, 2011, pp 9-41 from Springer

Abstract: Abstract Suppose that, for some reason, we want to know how many times a secondlanguage learner makes errors in a writing task; to be more specific, let’s assume we will only count verb inflection errors. The dependent variable (here, the number of inflection errors) is random in the sense that we don’t know in advance exactly what its value will be each time we assign a writing task to our subject. The starting point for us is the question: What’s the pattern of variability (assuming there is any) in the dependent variable?

Keywords: Binomial Distribution; Sampling Distribution; Product Rule; Exact Probability; Sample Count (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/978-3-642-16313-5_2

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