Which term describes the central tendency of a distribution?

Which term describes the central tendency of a distribution?

• A. Variance
• B. Central tendency
• C. Skewness
• D. Kurtosis

Answer: (B)

Central tendency describes the typical value at the center of a distribution. It captures the idea of where data cluster around, using measures such as the mean, median, or mode. The question is asking for the term that describes the center of the distribution, so this label fits best. The other terms describe different aspects: variance is about how spread out the values are; skewness concerns whether the distribution is lopsided toward higher or lower values; kurtosis refers to how peaked or flat the distribution is. Because the focus is on the center rather than spread or shape, central tendency is the appropriate term.

Central tendency describes the typical value at the center of a distribution. It captures the idea of where data cluster around, using measures such as the mean, median, or mode. The question is asking for the term that describes the center of the distribution, so this label fits best. The other terms describe different aspects: variance is about how spread out the values are; skewness concerns whether the distribution is lopsided toward higher or lower values; kurtosis refers to how peaked or flat the distribution is. Because the focus is on the center rather than spread or shape, central tendency is the appropriate term.