Answer:
A statistical hypothesis is a hypothesis that is testable on the basis of observed data modelled as the realised values taken by a collection of random variables.
•Purpose
PurposeThe purpose of hypothesis testing is to determine whether there is enough statistical evidence in favor of a certain belief, or hypothesis, about a parameter.
•Basics
BasicsHypothesis testing is a step-by-step methodology that allows you to make inferences about a population parameter by analyzing differences between the results observed (the sample statistic) and the results that can be expected if some underlying hypothesis is actually true
•Methods
MethodsHow to Conduct Hypothesis Tests
•State the hypotheses. Every hypothesis test requires the analyst to state a null hypothesis and an alternative hypothesis. ...
•Formulate an analysis plan. The analysis plan describes how to use sample data to accept or reject the null hypothesis. ...
•Analyze sample data. ...
•Interpret the results.
•Results
ResultsSome researchers say that a hypothesis test can have one of two outcomes: you accept the null hypothesis or you reject the null hypothesis. ... Failure to reject implies that the data are not sufficiently persuasive for us to prefer the alternative hypothesis over the null hypothesis.
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