Qnt 561 Week 4 Discussion Board Questions

What is the importance of the null hypothesis A hypothesis is an approximate explanation or claim about a data set that can be tested. A null hypothesis and alternative (research) hypothesisare the approximate description of the phenomena. The null hypothesis is important because when testing a hypothesisit is the null hypothesis that is tested not the research hypothesis. The null hypothesis states that there is no difference between the data sets being tested i.e. the two data sets will be the same. Therefore by testing the null hypothesis which declares that there is no difference between data sets then there can be only two possible outcomes. Either there is a difference or there is no difference. One the other hand if the research hypothesis is to be tested there would too many possible outcomes making it near impossible to test (Black, 2011). Reference Black, K. (2011). Business statistics for contemporary decision making. John Wiley Sons. Why has it been the backbone of mainstream hypothesis testing for decades The null hypothesis has been thebackbone of mainstream hypothesis testing for decades becausewe need the null hypothesis to determine if there is a difference between samples being tested or not. Without a null