Statistical inferential testing

A - Papers appearing in refereed journals

Webster, R. 2023. Statistical inferential testing. Encyclopedia of Mathematical Geosciences. pp. 1439-1443. https://doi.org/10.1007/978-3-030-85040-1_459

AuthorsWebster, R.
Abstract

Information on the constituents of rocks, sediments and soil necessarily derive from samples; it is never complete. Inferences drawn from data are uncertain, and the main aim of statistical testing is to attach probabilities to those inferences. The tests are prefaced by hypotheses or models and are designed to refute the hypotheses or determine the probabilities that the data do not comply with the models. A result is declared statistically significant when the probability, P, is less than some small value, conventionally P < 0.05. Statistical significance is not the same as scientific significance, and calculated values of P should always be presented along with standard errors in reports and papers so that clients and readers can draw their own inferences from results.

Year of Publication2023
JournalEncyclopedia of Mathematical Geosciences
Journal citationpp. 1439-1443
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-85040-1_459
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
Output statusPublished
Publication dates
Online28 Dec 2021
Publication process dates
Accepted20 Sep 2021
PublisherSpringer

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