Statistical data analysis and computer visualization
DOI:
https://doi.org/10.55630/mem.2023.52.209-211Keywords:
professional development, course, mathematics teachersAbstract
This course is addressed especially to the professional development of math teachers. The course contents is identical to the profiled school program in probability and data analisys. Our efforts are motivated by the deep conviction that statistical reasoning based on data is a compulsory skill for making informed choice. We present statistical methods using real data and simulations, and computer software (Microsoft Excel 2010) to introduce the most popular graphical methods for depicting data and emphasize on the interpretation of the results of the most commonly used statistical analyses.
References
M. Slavtchova-Bojkova, D. Grigorova, E. Kamenov. Statistical data analysis and computer visualization. Mathematics and Education in Mathematics, 45 (2016), 299—302.
M. Slavtchova-Bojkova, D. Grigorova, E. Kamenov. Statistical data analysis and computer visualization. Mathematics and Education in Mathematics, 46 (2017), 343-–345.
M. Slavtchova-Bojkova, D. Grigorova, E. Kamenov. Statistical data analysis and computer visualization. Mathematics and Education in Mathematics, 49 (2020), 265–268.
M. Slavtchova-Bojkova, D. Grigorova, E. Kamenov. Statistical data analysis and computer visualization. Mathematics and Education in Mathematics, 50 (2022), 213–216.
