Interpretation of p-value

When interpreting p-value do you have to say that given the null hypothesis is true, it is the probability of getting equal or more extreme events than observed purely by chance. Or is the chance part incorrect or unnecessary?

Use this as a guide to interpret p-values.

Assuming the [H0 in context] is true, the probability that the [observed statistic - x-bar or p-hat] will take a value as or more extreme than it does is [p-value]. {MAKE SURE TO USE CONTEXT}

How do we find the p value? Should we always find it?

It will most likely be given as we aren’t expected to run a hypothesis test

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