Z-test

Definition

A z-test is a statistical test used to determine if there is a significant difference between a sample mean and a population mean when the population standard deviation is known. It compares sample data by calculating a z-value based on differences between means and their variability.

Related terms

Standard Deviation: Standard deviation measures how spread out or dispersed data points are around the mean. It helps quantify variability within a dataset and plays an important role in calculating z-values for z-tests.

Population Mean: The population mean represents the average value of an entire population. In z-tests, it serves as the reference point for comparison with sample means.

One-sample Test: A one-sample test is a statistical test used when comparing one sample mean with either a known population mean or hypothesized value. Z-tests can be conducted as one-sample tests when certain conditions are met.