Parameters & Test Statistics Explained

A parameter is a fixed numerical value that describes a characteristic of a population, such as the mean (μ) or variance (σ²). A test statistic, on the other hand, is calculated from sample data to evaluate hypotheses and determine statistical significance. Parameters are theoretical, while test statistics are computed from observed data.