Let’s take the example of the sentence “We found a significant relationship between anxiety and job satisfaction (p < .05).” Here, all you are telling the readers is that you have enough evidence that this relationship is unlikely to be due to chance. Readers don’t know whether this relationship is direct or inverse (i.e., did participants with higher anxiety have higher job satisfaction or did participants with lower anxiety have higher job satisfaction?). Further, was this relationship strong or weak? For the benefit of the reader, you should also report a correlation coefficient along with the p value. If you add “r = -.78” in the parentheses at the end of the above sentence, your readers will understand that this is a strong inverse relationship. Thus, they get a better idea of your actual findings.
To find the p-value based off of the test statistic, sample size, hypothesis testing type, and the significance level (or error level that you are seeking) can be done through the following link: https://www.docpid.com/calculators/p-value. This calculator is unique because through the sample size given, it will determine whether the p-value should be calculated through the T distribution table or the normal distribution. If the sample size is less than 30, it uses the T distribution table. If the sample size is greater than 30, it uses the normal or Z distribution table.