Nope, statistical significance is based on two things.
1) Assume the model is true.
2) Conditional on the model, what is the probability that the observed differences are due to chance? The p value is then the probability that a test statistic at least this extreme could have been produced by chance.
1) Assume the model is true.
2) Conditional on the model, what is the probability that the observed differences are due to chance? The p value is then the probability that a test statistic at least this extreme could have been produced by chance.
Its actually p=0.001, not p=.10 also.