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Failing to reject the null hypothesis means we have proven it to be true.

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False


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False

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False, Failing to reject Null Hypothesis means we don’t have enough evidence against it, but it does not prove it is true.

It only means the data didn’t show strong evidence to support the alternative hypothesis.

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