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explain how hypothesis testing is not foolproof.

explain how hypothesis testing is not foolproof.

Math   Statistics-And-Probability   
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Hypothesis testing is used to assess the plausibility of a hypothesis by using sample data. Such data may come from a larger population, or from a data-generating process. Statistical analysts test a hypothesis by measuring and examining a random sample of the population being analyzed.It is a statistical

test used to determine whether the hypothesis for the sample of data stands true for the entire population or not. Simply, this is an assumption which is tested to find relationship between two data sets...Hence hypothesis testing is not foolproof.

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

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