Quartiles divide data into how many equal parts?

Quartiles divide data into how many equal parts?

• A. Two
• B. Five
• C. Four
• D. Ten

Answer: (C)

Quartiles divide data into four equal parts, with each part representing about 25% of the observations. In a sorted data set, you locate three cut points—the first quartile, the median, and the third quartile—which create four separate groups. Since quartile means one fourth, this is the standard way to split the data into four segments to understand the spread and where values fall relative to the rest. For comparison, imagine halves for two parts, quintiles for five parts, or deciles for ten parts.

Quartiles divide data into four equal parts, with each part representing about 25% of the observations. In a sorted data set, you locate three cut points—the first quartile, the median, and the third quartile—which create four separate groups. Since quartile means one fourth, this is the standard way to split the data into four segments to understand the spread and where values fall relative to the rest. For comparison, imagine halves for two parts, quintiles for five parts, or deciles for ten parts.