To understand P-values, we must also understand what is meant by a null hypothesis. A null hypothesis is the degree to which there is no difference between a certain population in a statistical study. It can also point directly to the fact that the statistic is not significant. This would void the statistic as unimportant to the study, and it would be thrown out. Therefore, it is critical to understand how to calculate the P-value so that there is no question of the validity and significance of a given statistic.
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