In one to two sentences, what does the p-value tell me when I conduct an inferential statistical test using sample data?
In a hypothesis test, there is always a null and an alternative hypothesis. The p-value is defined as the probability of getting the sample data given that the null hypothesis is true.
Therefore a lower p-value basically show that the conditional probability of null hypothesis for the given sample data is low. ( Note that p-value is not the probability of null hypothesis being true itself but it is the conditional probability of null hypothesis being true given the sample data for the test )
We reject the null hypothesis when the p-value is lower than the level of significance of the data.
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