A Z-Test is a statistical method used to determine if there is a significant difference between sample and population means or between the means of two samples, assuming the data follows a normal distribution and the population variance is known. It is particularly useful when dealing with large sample sizes, as the Central Limit Theorem ensures the sampling distribution of the mean is approximately normal.