How can you distinguish between a parameter and a statistic?

To distinguish between a parameter and a statistic, it's essential to understand their definitions and contexts. A parameter is a numerical value that describes a characteristic of a population, while a statistic is a numerical value that describes a characteristic of a sample drawn from that population. In essence, parameters pertain to entire populations, and statistics relate to samples. For example, if you calculate the average height of all students in a school, that average is a parameter. However, if you calculate the average height of a randomly selected group of students from that school, that average is a statistic. To summarize, the key difference lies in the scope: parameters describe populations, and statistics describe samples. Understanding this distinction helps in accurately interpreting data and making inferences about larger groups based on sample data.