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If a test is robust, what does this allow us to do? Be as detailed as...

If a test is robust, what does this allow us to do? Be as detailed as possible (although we are not looking for a long answer).

Math   Statistics-And-Probability   
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In robustness studies for hypotheses testing is very useful the p-value,observed significance level, so if a test is robust, it allows us to assess the strength of evidence against a particular null hypothesis (H0)...besides this for robustness the outcome is significant or not is only meaningful if the assumptions of the test are met or not...

Model is considered to be robust if its output and forecasts are consistently accurate even if one or more of the input variables or assumptions are drastically changed due to unforeseen circumstances....

Note-if there is any understanding problem regarding this please feel free to ask via comment box..thank you

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