# Interpreting p-value significance

If you have performed a statistical test using the standard 95% confidence threshold then a p-value of < 0.05 will indicate significance.

I was reading a blog post about typesetting some correlation data using the R library xtable. The author uses a series of ifelse statements to replace p-values with stars to indicate whether the result was less than 0.001, 0.01, or 0.05. I was wondering if anyone could comment on the validity of this?

If you perform a statistical test at a 95% confidence level and you get a p-value of < 0.01 does that mean that you could say that the result is significant to the 99% level. Or can you only assume a stronger confidence level if you explicitly performed the test with that criteria?

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