What is the desired p-value for determining statistical significance in an article?

The desired p-value for determining statistical significance is generally set at 0.05. This threshold indicates that there is a 5% probability that the observed results could have occurred by chance if the null hypothesis is true. A p-value of 0.05 is commonly used in many fields, including healthcare and medical research, to suggest that there is sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis.

Using a p-value of 0.05 strikes a balance between Type I errors (rejecting a true null hypothesis) and Type II errors (failing to reject a false null hypothesis). While more stringent thresholds like 0.01 may be used in some studies, the 0.05 level is widely accepted and utilized, making it a standard for determining statistical significance in various research articles.