How does the significance level (alpha) relate to the null hypothesis and Type I error?

In the “regular" case, the minimax rate is equal to n−1/4 n − 1 / 4 while in the “irregular” case, the rate depends on the smoothness class and is slower than ... May 6, 2022 ... The null and alternative hypotheses are two competing claims that researchers weigh evidence for and against using a statistical test. Aug 1, 2020 ... The null hypothesis is a default assumption stating that there is no effect or relationship between two phenomena—in other words, having no ... The appropriate null hypothesis is that the standard therapy is more effective than the experimental therapy by at least some specified amount. Apr 4, 2017 ... The null hypothesis is that the coefficients for all variables in the full model that are not in the reduced model are zero. noun : a statistical hypothesis to be tested and accepted or rejected in favor of an alternative; specifically : the hypothesis that an observed difference When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment ... Null hypothesis significance testing (NHST) has several shortcomings that ... Here we highlight a Bayes factor alternative to the conventional t test that will allow researchers to express preference for either the null hypothesis or the ... We reject the null hypothesis when the data provide strong enough evidence to conclude that it is likely incorrect. This often occurs when the p-value ( ... The null hypothesis states that there is no relationship between two population parameters, i.e., an independent variable and a dependent variable. If the ...