HYPOTHESIS TESTING

HYPOTHESIS TESTING

The purpose of statistical inference is to draw conclusions about a population on the basis of data obtained from a sample selected from that population. Hypothesis testing is the process used to evaluate the strength of evidence from the sample. It provides a method for understanding how reliably one can extrapolate observed findings in a sample under study to the larger population from which the sample was drawn. The investigator formulates a specific hypothesis, evaluates data from the sample, and uses these data to decide whether they support the specific hypothesis or not.

Meaning of Hypothesis

Ordinarily, when one talks about hypothesis, one simply means a mere assumption or some supposition to be proved or disproved. But for a researcher hypothesis is a formal question that he intends to resolve. Thus a hypothesis may be defined as a proposition or a set of proposition set forth as an explanation for the observed phenomenon.

Definition of Hypothesis

A hypothesis is a tentative generalization, the validity of which remains to be tested. In its most elementary stage, the hypothesis may be a mere bunch, imaginative data which becomes the basis for action or investigation.

When propositions are formulated or empirically tested, they are called hypothesis Propositions are combinations of concepts designated by statements that may be judged true or false, if they refer to observable phenomena.

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