We argue that practitioners should first decide their target hypothesis before choosing an assessment method.
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. Erfan Sadeqi Azer1. Daniel Khashabi2∗ Ashish Sabharwal2. Dan ...
Nov 10, 2019 · Abstract page for arXiv paper 1911.03850: Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses.
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses. Erfan Sadeqi Azer1. Daniel Khashabi2∗ Ashish Sabharwal2. Dan ...
Corollary: Researchers should start with a hypothesis that best serves their goal, followed by an appropriate selection of a statistical approach. 41. Page 42 ...
This work argues that practitioners should first decide their target hypothesis before choosing an assessment method, and provides best practices and ...
Corollary: Researchers should start with a hypothesis that best serves their goal and choose an appropriate statistical assessment accordingly. 42. Page 43 ...
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Whereas frequentist approaches produce a single point estimate of the p-value, Bayesian methods produce a probability distribution for the test statistic. ... .
It is argued that practitioners should first decide their target hypothesis before choosing an assessment method, and best practices and guidelines tailored ...
Since these statistical techniques differ in the hypotheses they can support, we argue that practitioners should first decide their target hypothesis before ...