Which statistical measure is used to find a value at every quarter of a dataset?

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The statistical measure that specifically divides a dataset into four equal parts is quartiles. Quartiles help in understanding the distribution of the data by identifying the values that separate the dataset into quarters: the first quartile (Q1) marks the 25th percentile, the second quartile (Q2) indicates the median or the 50th percentile, and the third quartile (Q3) identifies the 75th percentile. This division allows analysts to easily interpret and communicate information about the spread and center of the data.

While percentiles give a more granular view by dividing the data into 100 equal parts; deciles split it into 10 parts, neither of these specifically focuses on quarters. Bin ranges, on the other hand, are used in histograms to categorize data points into specific intervals but do not inherently provide quartile information. Thus, quartiles are the direct answer to finding values at every quarter of a dataset.