**Core Concept**
Measure of central tendency is a statistical term that refers to the methods used to describe the middle or typical value of a dataset. It provides an indication of the central or average value of a set of data, helping to summarize and understand the distribution of the data.

**Why the Correct Answer is Right**
The correct answer is the one that does not fall under the category of central tendency measures. Central tendency measures are typically mean, median, and mode. The mode is the most frequently occurring value in a dataset, while the median is the middle value when the data is arranged in ascending or descending order. The mean, or average, is calculated by summing up all the values and dividing by the number of values.

**Why Each Wrong Option is Incorrect**
**Option A:** Mean - Incorrect, as the mean is a measure of central tendency.
**Option B:** Median - Incorrect, as the median is also a measure of central tendency.
**Option C:** Mode - Incorrect, as the mode is a measure of central tendency as well.

**Clinical Pearl / High-Yield Fact**
It's essential to understand that measures of central tendency are often used in conjunction with measures of variability, such as range and standard deviation, to provide a complete picture of a dataset's distribution.

**Correct Answer: C. Mode is a measure of central tendency.**