The Sampling Distribution of Natural Logarithm of Standard Deviation From a Normal Universe
ABSTRACT In this article we first derive the sampling distribution of y = log e ( S ) where the variate S represents the standard deviation of a sample of size n ≥ 2 from an underlying normal universe. We then use the density of y = Ln( S ) to tabulate the first four moments of log e ( S ). We will determine if there is sample size n beyond which both the skewness and kurtosis of log e ( S ) are within 0.20 of normal zero so that the corresponding normal approximation may be adequate. The quantiles of y will be obtained in a sequel article, and they will be used to assess the normal approximation; the quality control aspects of log e ( S ) will also be discussed in a future article.
Authors
- Daniel F. Silva (ORCID: https://orcid.org/0000-0002-4776-4476)
- Saeed Maghsoodloo (ORCID: https://orcid.org/0000-0002-4072-5730)
Institutions
- Auburn University (US)
Publication Details
- Journal
- Quality and Reliability Engineering International
- Published
- 2025-10-26
- DOI
- https://doi.org/10.1002/qre.70095
- Citations
- 1
- Primary Topic
- Statistical and numerical algorithms
- Type
- article
- Field-Weighted Citation Impact
- 3.73