The difference between the regions of rejection and non-rejection refers most directly to the concept of ______.

A) critical values
B) null hypotheses and research hypotheses
C) the difference between the standard deviation and the standard error of the mean
D) the difference between statistics and parameters

Critical Values

Thresholds in hypothesis testing which, if exceeded by the test statistic, indicate that the null hypothesis can be rejected.

Standard Deviation

A metric that quantifies how spread out a dataset is in comparison to its average value.

Standard Error

The standard deviation of the sampling distribution of a statistic, often used to calculate confidence intervals or test hypotheses.