If the number of measurements is even, how is the median determined?

When determining the median in a dataset where the number of measurements is even, the correct approach is to take the average of the two middle measurements. First, the data must be arranged in ascending order. Once in order, the two middle values are identified — these will be the elements positioned at the midpoint of the dataset.

For example, if a dataset contains six measurements, the third and fourth measurements are the middle values. To find the median, you calculate the average of these two numbers. This averaging process ensures that the median accurately reflects the central tendency of the dataset even when there is an even count of observations.

The other options do not align with the established statistical method for finding the median. Selecting the highest or lowest measurement would not provide a meaningful representation of the center of the data. Similarly, using the mean is a different measure of central tendency, which can be affected by extreme values and does not serve the same purpose as the median in this context.