What are some null hypotheses commonly tested in business analytics?

Many econometric testing problems involve nuisance parameters which are not identi- fied under the null hypotheses. This paper studies the asymptotic ... The null hypothesis is known as “no-change” or “no-difference” hypothesis. Which means there is no statistical difference between two data sets. A hypothesis test formally tests if the population the sample represents is normally-distributed. The null hypothesis states that the population is normally ... KEY WORDS: Empirical Bayes; Empirical null hypothesis; Local false discovery rate; Microarray analysis; Unobserved covariates. 1. INTRODUCTION. Until ... Jan 1, 2024 ... Null hypothesis is important because it provides a framework for proving or disproving that something has an effect. By assuming that the null ... Oct 7, 2020 ... Here we present SigProfilerSimulator, a powerful tool that is capable of simulating the mutational landscapes of thousands of cancer genomes at different ... Apr 22, 2022 ... In 2015, the editors of the journal Basic and Applied Social Psychology banned NHST and statistical significance based on the dichotomy of p < ... Abstract. The literature on the effects of sentence severity on crime levels has been reviewed numerous times in the past twenty-five years. Most reviews ... Mar 14, 2017 ... Using the null hypothesis forces people to see that doing nothing is still a choice. It shows, very powerfully, the consequences of failing to ... Sep 19, 2022 ... Here we use propositional calculus to analyse the internal logic of NHST when couched in this popular terminology.