Understanding P-Values in Academic Writing: A Guide to Interpretation

Each test entry's P-value should exceed 0.01. This means that if the null hypothesis is true, there is less than a 1% chance of observing the results that were obtained. In other words, the results are statistically significant.

It is important to note that a P-value is not the only factor to consider when interpreting research findings. The size of the effect, the sample size, and the context of the research should also be taken into account. However, the P-value can be a useful tool for determining whether the results of a study are likely to be due to chance or to a real effect.