Hypothesis Testing is required for situations in which we do not have information about the true value of a parameter. In such cases, we make hypotheses regarding the true value of the parameter. These hypotheses are then tested using the data that is available about the behaviour of the parameter. If some hypothesis is seen to be consistent with the available data within a certain confidence interval, then that hypothesis is accepted and we then have an approximate measure of the true value of the parameter within certain limits.
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