Open Journal of Applied Sciences
Vol.6 No.4(2016), Paper ID 65506, 8
pages
DOI:10.4236/ojapps.2016.64022
Sensitivity and Specificity Analysis Relation to Statistical Hypothesis Testing and Its Errors: Application to Cryptosporidium Detection Techniques
Emmanuel de-Graft Johnson Owusu-Ansah, Angelina Sampson, Amponsah K. Samuel, Abaidoo Robert
Department of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana
Department of Chemistry and Biochemistry, South Dakota State University, Brookings, USA
Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
Department of Theoretical and Applied Biology, Kwame Nkrumah University of Science and Technology,
Kumasi, Ghana
Copyright © 2016 Emmanuel de-Graft Johnson Owusu-Ansah, Angelina Sampson, Amponsah K. Samuel, Abaidoo Robert et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Owusu-Ansah, E. , Sampson, A. , Samuel, A. and Robert, A. (2016) Sensitivity and Specificity Analysis Relation to Statistical Hypothesis Testing and Its Errors: Application to Cryptosporidium Detection Techniques.
Open Journal of Applied Sciences,
6, 209-216. doi:
10.4236/ojapps.2016.64022.