**3.4 Standard error for mean**

The indicator was employed for the purpose of testing the problem of prior data conflict. If the value of the standard error of the mean of the prior distribution is greater than the standard error of the mean of the posterior distribution, then this means that there is a problem of prior data conflict, and its formula is in the following form:

$$\text{SE}\_{\text{\%}}\text{-prior} = \frac{\text{s.d prior}}{\sqrt{\text{n}}} \tag{21}$$

$$\text{SE}\_{\text{\%}}\text{posterior} = \frac{\text{s.d posterior}}{\sqrt{\text{n}}} \tag{22}$$
