Skip to Main Content
Data Analysis and Statistics for Geography, Environmental Science, and Engineering
book

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

by Miguel F. Acevedo
December 2012
Beginner content levelBeginner
557 pages
19h 5m
English
CRC Press
Content preview from Data Analysis and Statistics for Geography, Environmental Science, and Engineering
105Exploratory Analysis and Introduction to Inferential Statistics
4.3.2 p-value
Furthermore, we can calculate the p-value or probability that the measured outcome would occur.
Thus, the p-value is the value at which the H0 can be rejected given the result of the experiment.
SeeDavis (2002) and Qian (2010). Using the p-value there is no need to establish a signicance level
a priori but just judge the magnitude of the p-value. If we believe the p-value is small enough, then
we can reject the null. Of course, the issue is how small the p-value should be for us to reject the null.
It has become popular to mix the p-value and signicance level approaches ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Applied Modeling Techniques and Data Analysis 1

Applied Modeling Techniques and Data Analysis 1

Yannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas
Geospatial Data and Analysis

Geospatial Data and Analysis

Aurelia Moser, Jon Bruner, Bill Day

Publisher Resources

ISBN: 9781439885017