Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://doi.org/10.1007/978-0-387-79054-1_9 below:

Power and the computation of sample size

A statistical test will not be able to detect a true difference if the sample size is too small compared with the magnitude of the difference. When designing experiments, the experimenter should try to ensure that a sufficient amount of data are collected to be reasonably sure that a difference of a specified size will be detected. R has methods for doing these calculations in the simple cases of comparing means using one- or two-sample t tests and comparing two proportions.

This is a preview of subscription content, log in via an institution to check access.

Unable to display preview. Download preview PDF.

1. Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark

   Peter Dalgaard

Correspondence to Peter Dalgaard .

© 2008 Springer Science+Business Media, LLC

Dalgaard, P. (2008). Power and the computation of sample size. In: Introductory Statistics with R. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-0-387-79054-1_9

• .RIS
• .ENW
• .BIB

• DOI: https://doi.org/10.1007/978-0-387-79054-1_9

• Published: 30 June 2008

• Publisher Name: Springer, New York, NY

• Print ISBN: 978-0-387-79053-4

• Online ISBN: 978-0-387-79054-1

• eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4