What does a p value p>0.05 mean? does it mean significant or insignificant?
also, what does significant and insignificant mean?
Using P ≤ .05, if the probability the results would occur by chance is P > .05, you would accept the null hypothesis.
By using any level of significance, if it equals or is less than that level, you would be assuming that the results indicate significant differences. Significant differences are unlikely to be due to chance alone. Although there is a small probability (alpha error) that the null hypothesis (no differences) is really true, you are assuming that it is not true in this instance.
By replicating experiments, if the same results are repeated, we can be even more sure of their significance. For example, if the same level of significance was found at P = .01 for 4 studies,
the probability that all 4 would have found the same results solely by chance = (.01)^4 = .01 * .01 * .01 * .01 = .000000001 = 1 time in a billion that these results all would occur by chance. At that point, I can be very certain in the significance of rejecting the null hypothesis.