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Implications between learning outcomes in elementary bayesian inference

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Statistical Implicative Analysis

Part of the book series: Studies in Computational Intelligence ((SCI,volume 127))

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In this research implicative analysis served to study some previous hypotheses about the interrelationships in students' understanding of different concepts and procedures after 12 hours of teaching elementary Bayesian inference. A questionnaire made up of 20 multiple choice items was used to assess learning of 78 psychology students. Results suggest four groups of interrelated concepts: conditional probability, logic of statistical inference, probability models and random variables.

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© 2008 Springer-Verlag Berlin Heidelberg

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Díaz, C., de la Fuente, I., Batanero, C. (2008). Implications between learning outcomes in elementary bayesian inference. In: Gras, R., Suzuki, E., Guillet, F., Spagnolo, F. (eds) Statistical Implicative Analysis. Studies in Computational Intelligence, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78983-3_8

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  • DOI: https://doi.org/10.1007/978-3-540-78983-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78982-6

  • Online ISBN: 978-3-540-78983-3

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