In a study comparing the efficacy of two treatments, a researcher calculates the difference in mean recovery times $\Delta = \mu_1 - \mu_2$. If the test statistic is $Z = \frac{\hat{\Delta} - \Delta_0}{SE(\hat{\Delta})}$ and the researcher observes $Z = 2.8$ in a two-tailed test, what conceptual shift occurs if the researcher decides to use a Bayesian credible interval instead of a frequentist confidence interval for the same data?