Hilton, Anthony and Armstrong, Richard A. (2005). Statnote 2: describing the normal. Microbiologist, 2005 , pp. 30-33.
Abstract
If a sample of measurements comes from a population that is normally distributed, we can use several statistics to describe our sample, such as the mean, SD, and CV. In addition, we can determine how atypical an individual measurement has to be before we would consider it not to be a member of a specific population. Furthermore, we can use our sample to make inferences about the population from which the sample is drawn including making estimates of the population mean and fitting confidence intervals to a sample mean.
Divisions: | College of Health & Life Sciences > School of Biosciences College of Health & Life Sciences > Chronic and Communicable Conditions College of Health & Life Sciences College of Health & Life Sciences > School of Optometry > Optometry College of Health & Life Sciences > School of Optometry > Optometry & Vision Science Research Group (OVSRG) College of Health & Life Sciences > School of Optometry > Vision, Hearing and Language |
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Uncontrolled Keywords: | sample of measurements,population,normally distributed,population mean,sample mean |
Publication ISSN: | 1479-2699 |
Last Modified: | 02 Dec 2024 09:09 |
Date Deposited: | 19 Aug 2019 09:32 |
Full Text Link: | |
Related URLs: |
http://issuu.co ... ocs/microsept05
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2005-09 |
Authors: |
Hilton, Anthony
(
0000-0001-8025-5270)
Armstrong, Richard A. ( 0000-0002-5046-3199) |