ABSTRACT
A hypothesis test provides an exact value of the P-value and therefore the exact degree of certainty we can hold in our results, i.e. the accuracy of the results. The 95 per cent CI specifies the range over which we can be 95 per cent certain that the true population parameter lies relative to our estimate of the population parameter. This is equivalent to the certainty provided by a P-value < 0.05, but also indicates the degree of precision of the estimate. CIs tell us about the likely magnitude of the estimated parameter, whereas hypothesis tests do not.
