The p-value is the probability of getting the observed results of a test taking the null hypothesis as true.p-value is compared to a significant level ∝ to allow you conclude about the hypothesis. Reject the hypothesis if p-value is lower than the significant level.
Step-by-step explanation:
Hypothesis test are used to tell the validity of a claim, where p-value show the significance of the results tested.
A larger p-value, where p>0.05, shows a weak evidence against the null hypothesis where as a p-value close to 0.05 is taken to be marginal. A p-value ≤0.05 indicates a strong evidence against the null hypothesis.
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