Proceedings of the 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)

An Analysis and Practice of Teaching Reform on Conditional Probability

Authors
Xiaonan Xiao
Corresponding Author
Xiaonan Xiao
Available Online 2 November 2020.
DOI
https://doi.org/10.2991/assehr.k.201030.001How to use a DOI?
Keywords
conditional probability, teaching reform, reducing sample space, section method, theoretical teaching, practical teaching
Abstract
To begin with the exploration of the profound significance of conditional probability, the article investigates in depth the reduced sample space method and the reduced sample space cut method for calculating conditional probability. It aims to provide new ideas and methods for theoretical and practical teaching of probability statistics.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
2 November 2020
ISBN
978-94-6239-266-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.201030.001How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaonan Xiao
PY  - 2020
DA  - 2020/11/02
TI  - An Analysis and Practice of Teaching Reform on Conditional Probability
BT  - 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020)
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201030.001
DO  - https://doi.org/10.2991/assehr.k.201030.001
ID  - Xiao2020
ER  -