Each statistical test has an associated null hypothesis, the p-value is the probability that your sample could have been drawn from the population(s) being tested (or that a more improbable sample could be drawn) given the assumption that the null hypothesis is true. A p-value of .05, for example, indicates that you would have only a 5% chance of drawing the sample being tested if the null hypothesis was actually true.

Null Hypothesis are typically statements of no difference or effect. A p-value close to zero signals that your null hypothesis is false.

Here p>0.05 does not mean accept null hypothesis, since 0.06 is still close to 0, and also cann't use for reject Null hypothesis.

Well,it depends on your hypothesis first.

[此贴子已经被作者于2007-1-18 13:36:20编辑过]