True or false: The most common use of a one-sample \( t \) procedure is to analyze matched pairs data. true false

False! While one-sample \( t \) procedures are often used to compare a sample mean to a known population mean, matched pairs data typically utilizes paired \( t \)-tests. Matched pairs involve two related samples, which are analyzed using different statistical procedures designed for that structure. So, don't be fooled; they’re not interchangeable! If you ever need to decipher the difference between these tests, consider the context! For instance, matched pairs tests are great for before-and-after scenarios, while one-sample \( t \) tests evaluate if a single group deviates from a target mean. Learning how to choose the right test can really up your statistical game!