The Graphs of the CDF, Power and Its Interpretation on Several Types of Binomial Probability Distribution
- 10.2991/apr.k.220503.006How to use a DOI?
- Binomial distribution; the power function of hypothesis testing; R-code
The research discussed the graphically analyzed of the cumulative distribution function (cdf), and the power function of hypothesis testing on the binomial distribution. In this research, we also showed (derived) the formula of the power function on special case of binomial such us Negative Binomial and the Geometric distribution. The result showed that the degree of freedom, bound of the rejection area, and parameter shape significantly affect to the curves of the power function. The curves of the power are sigmoid and they increase quickly to be one on the small parameter shape and large degree of freedom.
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Budi Pratikno AU - Evita Luaria Wulandari AU - Jajang Jajang AU - Junita Sage Sianipar AU - Mashuri Mashuri PY - 2022 DA - 2022/05/25 TI - The Graphs of the CDF, Power and Its Interpretation on Several Types of Binomial Probability Distribution BT - Proceedings of the Soedirman International Conference on Mathematics and Applied Sciences (SICOMAS 2021) PB - Atlantis Press SP - 27 EP - 30 SN - 2352-541X UR - https://doi.org/10.2991/apr.k.220503.006 DO - 10.2991/apr.k.220503.006 ID - Pratikno2022 ER -