Saurabh Patel

P-value is the probability of obtaining an effect at least as extreme as the one in sample data, assuming the truth of the null hypothesis. When a P value is less than or equal to the significance level, you reject the null hypothesis. If p > .10 → “not significant” If p ≤ .10 → “marginally significant” If p ≤ .05 → “significant” If p ≤ .01 → “highly significant.” On basis of this we can conclude that The P value, or calculated probability, is the probability of finding the observed, or more extreme, results when the null hypothesis (H0) of a study is true – the definition of ‘extreme’ depends on how the hypothesis is being tested. P is also described in terms of rejecting H0 when it is actually true, however, it is not a direct probability of this state.

With out Specification limit you are not able to calculate Cp Cpk.

Power of test is more significant