How p-value helps to decide to-not to reject null hypothesis

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What is a p-value in testing hypothesis? How does this p-value help us to decide to/not to reject a Null hypothesis? What might happen if we do not use this p-value in particular, when we are rejecting a Null hypothesis? What are the limits of these p-values to decide if we have made a right decision on rejecting a false Null hypothesis? How do you find this p-value from the tables?

Reference no: EM13154052

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