11th December 2019


What does P 0.05 mean in statistics?

A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis. A large p-value (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.

Is P value significant?

That's our P value! When a P value is less than or equal to the significance level, you reject the null hypothesis. The P value of 0.03112 is statistically significant at an alpha level of 0.05, but not at the 0.01 level.

How do you know if the p value is significant?

The p-value is compared with the desired significance level of our test and, if it is smaller, the result is significant. That is, if the null hypothesis were to be rejected at the 5% significance level, this would be reported as “p < 0.05".Small p-values suggest that the null hypothesis is unlikely to be true.
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