Definition of P-Value:

The p-value is a statistical measure that helps determine the strength of evidence against the null hypothesis.

What is a p-value?

A p-value is a probability value that quantifies the likelihood of obtaining the observed data, or more extreme results, if the null hypothesis is true.

Interpreting the p-value:

Based on the p-value, we can make an informed decision about the statistical significance of our results. The p-value is compared to a pre-determined significance level (alpha) to draw conclusions.

Key principles of p-values:

– If the p-value is less than or equal to the significance level (alpha), typically 0.05, we reject the null hypothesis and conclude that the results are statistically significant.

– If the p-value is greater than the significance level, we fail to reject the null hypothesis and conclude that the results are not statistically significant.

– A smaller p-value indicates stronger evidence against the null hypothesis.

P-value misconceptions:

– The p-value does not measure the probability of the null hypothesis being true.

– A non-significant p-value does not prove the null hypothesis.

– It is important to interpret the p-value in the context of the specific study and its limitations.