Use the p-value to determine whether the results are statistically significant. P-values are often used in hypothesis tests, where you either reject or fail to reject a null hypothesis.

When you do a hypothesis test, the key piece of output to concentrate on is the p-value.

A p-value ranges from 0 to 1. The p-value is a probability that measures the evidence against the null hypothesis. Lower probabilities provide stronger evidence against the null hypothesis.

You can compare the p-value to α to decide whether you should reject the null hypothesis (H0).
  • If the p-value is less than or equal to α, you reject H0.
  • If the p-value is greater than α, you fail to reject H0.

A value of 0.05 is often used for α, that is, if the p-value is less than or equal to 0.05, reject H0.

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