A p-value determines the results equal to or more than the results achieved under a specific hypothesis when the imaginary null hypothesis is correct. It is the measure of the probability and indicates the probability that the observed difference occurred by chance.

  • Low p-value i.e., values <0.05 represents that the null hypothesis can be ignored, and data is not likely with true null.
  • High p-value i.e., values >0.05 means the null hypothesis can’t be ignored and data is like with true null.
  • P-value=0.05 indicates null hypothesis can go either way.
BY Best Interview Question ON 02 Nov 2022

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