The Alpha level of a test (level of significance) represents the yardstick against which P-values are measured and the Null Hypothesis is rejected if the P-value is which of these?

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The Alpha level represents the maximum acceptable probability of rejecting the Null Hypothesis when it is actually true. Therefore, if the P-value is less than the Alpha level, it means that the observed effect is significant enough to reject the Null Hypothesis at the chosen level of significance.

The Alpha Level of a Test (Level of Significance) Represents