The teaching of probability distribution functions. Practical experiences
DOI:
https://doi.org/10.62452/59n4xf48Keywords:
Functions, probability distribution, statistical analysis, discrete variables, statistical programsAbstract
In the paper the authors aim to show the possible ways to use some software packages as a support in the teaching processes for the development of statistical analysis skills in the students. It addresses the experience of the authors by teaching Statistics in several study programs, with the support of IBM SPSS Statistics Base. The knowledge of Statistics is necessary in all professions, as well as support of scientific research or for the daily empirical performance. The teaching of Statistics is therefore present in the curricula of all professions; however is not one of the most liked subjects by the students.
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References
Devore, J. L. (2008). Probabilidad y estadística para ingeniería y ciencias. México, D.F.: Cengage Learning Editores, S.A. de C.V.
Guerra Bustillo, C. et al. (2003). Estadística. La Habana: Félix Varela.
International Business Machines Corporation. (2017). SPSS Statictic Base V.22. Recuperado de http://www-03.ibm.com/software/products/es/spss-stats-base/
Lind, D. A, Marchal, W., & Mason, R. D. (2004). Estadística para administración y economía. México, D.F.: Alfaomega Grupo Editor, S.A. de C.V.
Vargas Sabadías, A. (1995). Estadística Descriptiva e Inferencial. Cuenca: Compobell, S.L.
Walpole, R. E., et al. (1999). Probabilidad y estadística para ingenieros. México: Prentice- Hall Hispanoamericana, S.A.
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Copyright (c) 2018 Ana Lilia Castillo Coto, Miguel Ángel Fernández Marín, Fidel Ángel Gutiérrez Rodríguez (Autor/a)

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