HYPOTHESIS FORMULATION AND TESTING
A hypothesis is nothing more than a statement that requires verification. Hence, it remains speculation until tested. Hypotheses are useful for verifying inferences from data and for determining the differences between observations and expectations.
A hypothesis has two parts: the null hypothesis (Ho) and the alternate hypothesis (Ha). The null hypothesis is a negative statement while the alternate hypothesis is phrased positively.
A problem with having a null and alternate hypothesis is that an incorrect conclusion can be drawn, also known as an inferential error, from a sample. There are two types of these errors: type I and type II. Type I occurs when the null hypothesis is rejected even though it is, in ...
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