ABSTRACT
As you know from the previous section, the null hypothesis states that there is no true difference between two sample means (i.e., in the population, the difference is zero). In other words, it asserts that an observed difference1 between means was obtained only because of sampling errors created by random sampling. The remaining sections of this book deal with tests of the null hypothesis, which are commonly called significance tests.
