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?
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References
Polya, G. (1954). Mathematics and Plausible Reasoning, vol. 2. Princeton, NJ: Princeton University.
Rosen, K. H. (2006). Discrete mathematics and its applications (Sixth Edition ed.). New York: Mc-Graw Hill, Inc.
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© 2011 Springer-Verlag Berlin Heidelberg
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Vasishth, S., Broe, M. (2011). Randomness and Probability. In: The Foundations of Statistics: A Simulation-based Approach. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16313-5_2
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DOI: https://doi.org/10.1007/978-3-642-16313-5_2
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