The article explains how scientists use inferential statistics to test hypotheses. They discuss the null hypothesis, significance testing, and setting critical levels for accepting or rejecting hypotheses. The concept of one- and two-tailed tests is also explained. The article highlights errors and fallacies in significance testing. An example of a two-tailed test is provided using data on milk protein levels in different cow breeds.