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Baris ka-24: For example, rejection of a null hypothesis (that, say, rates of symptom relief in a sample of patients who received a [[placebo]] and a sample who received a medicinal drug will be equal) allows us to make a non-null statement (that the rates differed); it does not prove that the drug relieved the symptoms, though it gives us more confidence in that hypothesis. The formulation, testing, and rejection of null hypotheses is methodologically consistent with the [[falsificationism\|falsificationist]] model of [[Science\|scientific discovery]] formulated by [[Karl Popper]] and widely believed to apply to most kinds of [[empirical research]]. However, concerns regarding the high [[Statistical power\|power]] of [[~~statistical~~tes ~~hypothesis~~hipotesa ~~testing~~statistik\|statistical tests]] to detect differences in large samples have led to suggestions for re-defining the null hypothesis, for example as a hypothesis that an effect falls within a range considered negligible. In [[2002]], a group of psychologists launched a new journal dedicated to experimental studies in [[psychology]] which support the null hypothesis. The ''Journal of Articles in Support of the Null Hypothesis'' (JASNH) was founded to address a scientific publishing bias against such articles. [http://www.jasnh.com/] According to the editors,

Null hypothesis: Béda antarrépisi