Pvalues greather than .0.05

Hello
The P value means the confidence level that you have to reject the null hypothesis. A 0.05 maximum P value means that you want to be at least 95% confident that the null hypothesis must be rejected (100-95% = 0.05).
Therefore, if you have a 0.2 P value this means that you only have an 80% confidence level that the null hypothesis must be rejected. What does this mean in practical terms? It depends on how sure you want to be that any changes in the process must be implemented based on the effects of the factors included in your model.

A p value is a convenient way to avoid the task of looking up in tables to see if your hypothesis is statistically rejected or not.
Typically a p value represents the probability that your results are due to the tst and not to pure chance.
the default is 0.05 or conversely a 5% chance that your results are due simply to a random occurrence. Obviously if you are into medical research or other life threatening experiements you may need to lower the p value to 0.01 which then give you a 99% confidnence level.