When conducting statistical analysis, researchers often rely on p-values to determine the significance of their findings. A p-value represents the probability of obtaining results as extreme as the ones observed, assuming that the null hypothesis is true. It is commonly used to test whether a particular effect or relationship exists in a given population. In order to interpret the meaning of a p-value, it is crucial to understand the concept of statistical significance.<\/p>\n