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

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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?

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Anonymous 0 Comments

True story: when Pearson made the first tables for the first statistics textbook there were two of them. The tables were for 0.05 and 0.001. The widespread use of those values denoting significance is tied more to tradition/conversation than anything else. Researchers used those figures because they were available, now academic worship them. Pretty hilarious actually.

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