Two-sample z test

The two-sample z-test is a statistical method used to compare the means of two independent samples to determine if they are significantly different from each other. It's a powerful tool in hypothesis testing, particularly when dealing with large sample sizes and when the population standard deviations are known. By calculating the z-score and comparing it to a critical value from the standard normal distribution, researchers can assess whether the observed difference between the sample means is due to chance or represents a true difference in the populations they represent.