The easiest way to compare two distributions is with the z-test. The mean error is calculated by dividing the variance by the square root of the number of data points. The plot above shows the population means. This is the true and inherent average of that population.
z-test is a statistical test that can approximate the distribution of test variables under the null hypothesis with a normal distribution. Z-test tests the mean of the distribution. The
z-test is a statistical test to determine if the means of the two populations differ when the variance is known and the sample size is large. The z-test is a hypothesis test in which the z-statistic follows a normal distribution.
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