The value that separates the highest 25% of data from the rest is called?

The value that separates the highest 25% of data from the rest is known as the upper quartile, often referred to as the third quartile. Quartiles are used to divide a dataset into four equal parts, each representing a fourth of the distributed data. The first quartile marks the 25th percentile, the second quartile is the median or the 50th percentile, and the third quartile indicates the point below which 75% of the data fall, thus separating the highest 25%.

This terminology is fundamental in descriptive statistics as it helps to understand data distribution. It is particularly useful in identifying how data points are spread in relation to the overall dataset and defining thresholds for higher segments, such as the top 25%. Other options present different statistical concepts: the median divides the dataset into two halves, percentiles represent any value below which a given percentage of observations fall, and the range measures the difference between the maximum and minimum values in the dataset.