What term describes measurements that are close to the real value?

The term that describes measurements that are close to the real value is accurate measurements. Accuracy signifies how closely the results of a measurement reflect the true or actual value of the quantity being measured. High accuracy means that the measurement is very close to the real value, which is essential in fields such as sports science, where precise measurements can significantly impact performance analysis and training programs.

In context, other terms such as bias measurements, systematic measurements, and random measurements refer to different concepts. Bias measurements relate to systematic errors that consistently skew results in a particular direction away from the true value. Systematic measurements focus more on repeatability and consistency, but they do not necessarily indicate how close they are to the true value. Random measurements pertain to variability due to chance factors, which may cause results to fluctuate, thereby affecting accuracy. Understanding these distinctions helps clarify why accurate measurements are vital in ensuring the validity of data collected in sports and exercise contexts.