The smaller the P value, the more strongly the test rejects the null hypothesis, that is, the hypothesis being tested.
A p-value of .05 or less rejects the null hypothesis "at the 5% level" that is, the statistical assumptions used imply that only 5% of the time would the supposed statistical process produce a finding this extreme if the null hypothesis were true.
5% and 10% are common significance levels to which p-values are compared.
Terms related to p value:
- Marginal Significance Value
- Augmented Dickey-Fuller Test
About.Com Resources on p values:
- Hypothesis Testing Using One-Sample t-Tests
- Hypothesis Testing With Multivariate Regressions Using One-Sample t-Tests
- How to Do a Painless Multivariate Econometrics Project
Books on p values:
- Introduction to Robust Estimation and Hypothesis Testing
- Statistical Hypothesis Testing: Theory and Methods
- Statistics for Business & Economics