- #1

fog37

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- TL;DR Summary
- How far and how close to p=0.05 for statistical significance...

Hello Forum,

I understand what the p value represents and how it is calculated in a statistical hypothesis test. In general, the p-value threshold is set to 0.05, i.e. 5% which means that the null hypothesis is reject 5 times our 100 even if it is true. Or that the sample statistics are, assuming the null hypothesis is true, are extremely rare (if p<0.05) leading to reject H0...

What if our p value is just 0.057? Do we keep H0? What if p was 0.049? Would we reject H0? I guess I am asking how far the calculated p-value must be from the 0.05 threshold for the results to be either statistically significant or not...

Thank you!

I understand what the p value represents and how it is calculated in a statistical hypothesis test. In general, the p-value threshold is set to 0.05, i.e. 5% which means that the null hypothesis is reject 5 times our 100 even if it is true. Or that the sample statistics are, assuming the null hypothesis is true, are extremely rare (if p<0.05) leading to reject H0...

What if our p value is just 0.057? Do we keep H0? What if p was 0.049? Would we reject H0? I guess I am asking how far the calculated p-value must be from the 0.05 threshold for the results to be either statistically significant or not...

Thank you!