One-Sample Z-Test Calculator

Effortlessly calculate the significance of your sample mean compared to the population.

Input Parameters

Enter your sample observations separated by commas.

The known mean of the population.

The known standard deviation of the population.

The mean value you are testing against.

Commonly used alpha levels are 0.01, 0.05, and 0.10.

Understanding the One-Sample Z-Test

The One-Sample Z-Test is a statistical hypothesis test used to determine whether an unknown population mean is different from a specific value. It is particularly useful when you have a single sample and you know the population standard deviation.

Key Concepts:

Use this calculator to quickly perform a one-sample Z-test and understand whether your sample data provides enough evidence to reject the null hypothesis.