Question 20One reason Bayesian inference is offered as an alternative to null hypothesis significance testing is that Bayesian inference1 pointmore closely resembles the actual scientific method.proceeds without reliance on prior knowledge or beliefs.is mechanical and gives the researcher a clear yes or no answer about statistical significance.tests the actual null hypothesis, that is, that an effect size equals zero.

The reason why Bayesian inference is offered as an alternative to null hypothesis significance testing is because it more closely resembles the actual scientific method. Unlike null hypothesis significance testing, Bayesian inference incorporates prior knowledge or beliefs into the analysis. This is more in line with how scientists actually conduct research, as they often have some prior beliefs about the phenomena they are studying. Furthermore, Bayesian inference does not just give a clear yes or no answer about statistical significance. Instead, it provides a probability distribution for the parameter of interest, giving a more nuanced understanding of the results. Lastly, while null hypothesis significance testing often tests whether an effect size equals zero, Bayesian inference allows for more flexibility in specifying the null hypothesis.