Which statistic best represents the average hospital length of stay (LOS) when the data are continuous and interval-level?

When data are continuous and measured at the interval level — such as number of days in hospital — the mean (arithmetic average) is the most appropriate and informative measure of central tendency. The mean uses all values in the dataset in its calculation, making full use of the quantitative information available. It is the standard summary statistic reported in clinical research and healthcare analytics when describing continuous outcomes like length of stay. Standard deviation is a measure of dispersion, not central tendency; it describes how much values vary around the mean rather than representing the average itself. Mode identifies the most frequently occurring value, which is most useful for nominal or categorical data and does not reflect the true center of a continuous distribution. Median, while valuable when data are skewed or contain outliers, is a measure of central tendency appropriate for ordinal data or skewed interval data — it does not make full use of the numeric magnitude of each data point the way the mean does. For a normally distributed, interval-level variable like hospital length of stay in an unbiased sample, the mean is the preferred representative statistic.