After applying a statistical test, an investigator gets the p-value of 0.01. It means that: (AIIMS Nov 2011)
|A||The probability of finding a significant diff. is 1%|
|B||The probability of declaring a significant diff. is 1%|
|C||The difference is non significant 1% times and significant 99% times|
|D||The power of the test used is 99%|
Ref: High Yield Biostatistics, Pg: 34-36 & Park PSM 22nd ed. 793
To report the result as statistically significant at a certain level of p, with a statement such as ‘significant at p ≤ .01”, merely means that the result was unlikely to have occurred by chance – specially that the likelihood of the result having occurred by chance is 0.01 or less. Hence, in this study since the p value is 0.01 it means that the probability of declaring a significant difference is 99% and non significant is 1%. In other words, if we repeat the study 100 times, the difference would be significant 99% times and non significant 1% of times.