Significance of Null hypothesis
The null hypothesis is a fundamental concept in scientific research, representing a statement of no effect or difference that researchers aim to disprove through statistical testing. It asserts that there is no significant difference in populations regarding specific variables, such as treatment outcomes or other phenomena. The null hypothesis serves as a default position, which researchers often challenge in favor of an alternative hypothesis, based on collected data and statistical tests. Its role is crucial for validating research findings and establishing conclusions.
Synonyms: Statistical hypothesis, No effect, No difference, Status quo
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The concept of Null hypothesis in scientific sources
The Null hypothesis is a fundamental concept in research, representing the default assumption that there is no effect or difference. Researchers design experiments to test this hypothesis and determine if it can be rejected.
From: The Malaysian Journal of Medical Sciences
(1) This is a statement that there is no significant difference or effect in a study, which is rejected at the 5% significance level because of the Bonferroni post hoc test results.[1] (2) Null hypothesis, a statement of no effect or no association, was not rejected in this study, as the findings did not demonstrate a significant effect of mild and moderate TBI on CI and NM.[2] (3) A statement of no effect or no difference that researchers aim to disprove through their study, forming the basis for statistical testing.[3] (4) A statement asserting that there is no effect or no difference, often tested in research to determine whether to reject or not reject this assumption based on sample data.[4] (5) A statement that there is no effect or no difference, used as a starting point for statistical testing.[5]