Understanding the significance of the P-value
The probability that a null-hypothesis will be rejected even if it is proven true is the p-value. When there is no difference between two measures, then the hypothesis is said to be a null-hypothesis.
For example, if there is a hypothesis that, in the game of football, every player who plays 90 minutes will also score a goal then the null hypothesis would be that there is no relation between the number of minutes played and the goals scored.
Another example would be a hypothesis that a person with blood group A will have higher blood pressure than the person with blood group B. In a null hypothesis, there will be no difference, that is, no relation between the blood type and the pressure.
The significance ...
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