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23 Απρ 2020 · The controversy surrounding null-model-based hypothesis testing is commonly interpreted as a debate about the usefulness of null hypotheses and null models in the biological sciences, especially in ecology and biogeography. But it is also important to take notice of the deeper origin of this debate.
11 Σεπ 2017 · Specifically, we discuss null hypothesis significance testing, describe what p values mean and how they are reported, describe some common misconceptions of p values, and provide two examples...
5 Οκτ 2016 · The section “Definition of p -Values” discusses the formal definition of a p -value. The section “Problems of p -Values and an Alternative Measure of Evidence” presents its limitations and reviews a new classical measure of evidence, called s -value, that overcomes some limitations of the p -value.
In this short tutorial, I first summarize the concepts behind the method, distinguishing test of significance (Fisher) and test of acceptance (Newman-Pearson) and point to common interpretation...
One of the main goals of statistical hypothesis testing is to estimate the P value, which is the probability of obtaining the observed results, or something more extreme, if the null hypothesis were true. If the observed results are unlikely under the null hypothesis, your reject the null hypothesis.
16 Ιουλ 2020 · This included p-values, associated test statistics (e.g., t-values and F-values), confidence intervals, and statements about ‘significant’ differences or lack thereof. Instead, the journal encouraged larger sample sizes and interpretation of ‘strong descriptive statistics’ such as effect sizes.
29 Αυγ 2015 · Some studies report conclusions based on a null hypothesis different from the one that is actually tested. In this example, the authors tested the effect of a novel antiviral drug on mouse survival 7 days after infection with a virus.
