You can determine a precise p-value using the calculator above, but we can find an estimate of the p-value manually by calculating the z-score as follows: z = (p - P) / SE If the p-value is less than the significance level, In a single proportion hypothesis test, we calculate the probability that we would observe the sample proportion, p,Īssuming the null hypothesis is true, also known as the p-value. The z-score is a test statistic that tells us how far our observation is from the null hypothesis's proportion under the null distribution. We can look up the probability of observing the results under the null distribution. ![]() The type of test you are conducting, i.e. A hypothesis test for a proportion is sometimes known as a z-test because of the use of a z-score in analyzing results. ![]() ![]() The conclusion of a hypothesis test for a proportion is always either: If we find the probability is below the significance level, we reject the null hypothesis.
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