PhilSci Archive

Evidence in Classical Statistics

Fletcher, Samuel C. and Mayo-Wilson, Conor (2019) Evidence in Classical Statistics. [Preprint]

[img]
Preview
Text
Evidence_in_Classical_Statistics (6).pdf

Download (257kB) | Preview

Abstract

The dominance of classical statistics raises a puzzle for epistemologists. On one hand, science is a paradigmatic source of good evidence, with quantitative experimental science often described in classical statistical terms. On the other, the hybrid of Fisherian and Neyman-Pearsonian techniques is generally rejected by philosophers, statisticians, and scientists who study the foundations of statistics. So why is the use of classical statistics in empirical science so epistemically successful? Do classical “measures” of
evidence actually measure anything epistemically important? This chapter provides some positive answers to these questions.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Fletcher, Samuel C.scfletch@umn.edu0000-0002-9061-8976
Mayo-Wilson, Conorconormw@gmail.com
Additional Information: Written for Routledge Handbook of Evidence, Maria Lasonen-Aarnio and Clayton Littlejohn, eds.
Keywords: classical statistics, testing, evidence, reliabilism
Subjects: General Issues > Evidence
Specific Sciences > Probability/Statistics
Depositing User: Samuel C. Fletcher
Date Deposited: 07 Jul 2019 14:27
Last Modified: 07 Jul 2019 14:27
Item ID: 16191
Subjects: General Issues > Evidence
Specific Sciences > Probability/Statistics
Date: 22 May 2019
URI: http://philsci-archive.pitt.edu/id/eprint/16191

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item