Statistical Thinking Training Requirements and Strategy based on Interdisciplinary

DOI

10.2991/itms-15.2015.111How to use a DOI?

Keywords

Statistical thinking; Training requirements; Teaching strategies

Abstract

Statistical thinking is thinking mode that people descriptive, analyze, judge and reason the quantity characteristic and law of objective things by data consciously, it has the characteristics of quantity, fault tolerance and variability. Cultivating statistical thinking needs to pay attention to develop and improve students' thinking of divergent, novelty and uniqueness, pay attention to the combination of theory with practice, emphasizes the combination of qualitative analysis and quantitative analysis, and combine with different disciplines background. According to these requirements, statistical teaching should focus on the exchange of teaching and learning to expand students' knowledge and thinking space, improve students' practical applicative ability through the theory with practice; improve the students' ability of data processing by multimedia and statistical software.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhanzhen Zhang
PY  - 2015/11
DA  - 2015/11
TI  - Statistical Thinking Training Requirements and Strategy based on Interdisciplinary
BT  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 462
EP  - 465
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.111
DO  - 10.2991/itms-15.2015.111
ID  - Zhang2015/11
ER  -