ABSTRACT
This chapter discusses how data sets support or fail to support a hypothesis. Experimental hypotheses are the mean of a data set, which is usually checked against a fixed value or another data set. Since the experimental data set is a distribution, the control or reference value or data set must be sufficiently far away from the data set to ensure discrimination. A statistical t-test, z-test or two-sample t-test can be used to assess whether a hypothesis meets the desired level of significance.
