Why do researchers choose to use the “P-Value” rule in data analysis?

Question

They say .014(the P-Value) is a “significant number”. Says who? Why? Isn’t any number “significant” if the distribution of data points is mostly around that area?

In: 4

Answer 1

Short answer: if the test was run properly, the p-value indicates that there is a real difference between groups and is not due to chance the closer it is to 0. P-values closer to 1 indicate that the difference of individual data points between groups is more likely chance and within normal variability.