As a domain expert in statistical analysis, I'd like to clarify the concept of p-values and their implications in hypothesis testing. A p-value is a statistical measure that indicates the strength of the evidence against a null hypothesis. It is calculated from the observed data and is used to make decisions about whether to reject the null hypothesis in favor of an alternative hypothesis. Here's a detailed explanation of what a p-value might mean, particularly when it is reported as 0 or very close to 0, and how it is typically interpreted in the context of statistical significance.
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1 indicates a rejection of the null hypothesis at the 5% significance level, 0 indicates a failure to reject the null hypothesis at the 5% significance level. If you are interested in your p-value, just do this: ... H is the 0-1 variable (and the standard output if you don't name any variables) and P is your p-value.Jan 20, 2011read more >>