One-sample z test

The one-sample z-test is a statistical method used to determine whether a sample mean differs significantly from a known or hypothesized population mean. This test is valuable in various fields, including but not limited to quality control, economics, and healthcare, where comparisons between sample means and population parameters are essential for decision-making. By calculating the z-score and comparing it to the critical value from the standard normal distribution, statisticians can assess the significance of the observed difference. Understanding the principles and applications of the one-sample z-test is crucial for making informed decisions based on sample data.