Can the same dataset be used to formulate and test a null hypothesis? What are the implications of violating the assumptions of a statistical test on the validity of the null hypothesis test?

Aug 22, 2017 ... In this paper, I explain the inherent link between innovation and reproducibility, and how null hypothesis significance testing distorts the link. When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment ... Null hypothesis significance testing (NHST) has several shortcomings that ... May 1, 2024 ... It represents an assumption that no significant difference, effect, or relationship exists between variables within a population. Jan 14, 2020 ... One possible application for this might be to set the null hypothesis to either a superiority margin or inferiority margin to test for a ... The null hypothesis is known as “no-change” or “no-difference” hypothesis. Which means there is no statistical difference between two data sets. The null hypothesis is valid if the observed data (in the sample) do not differ from what would be expected based on chance alone. Null hypothesis testing is a formal approach to deciding between two interpretations of a statistical relationship in a sample. Jun 16, 2022 ... A null hypothesis is an assumption or proposition where an observed difference between two samples of a statistical population is purely accidental. It is concluded that research traditions and customs of discrimination against accepting the null hypothesis may be very detrimental to research progress. The neutral theory holds that most variation at the molecular level does not affect fitness and, therefore, the evolutionary fate of genetic variation is best ...