Central tendency is given by -a) Meanb) Medianc) Moded) Variancee) Range
**Core Concept**
The concept of central tendency refers to statistical measures that aim to describe the middle or typical value of a dataset, including **mean**, **median**, and **mode**. These measures are crucial in understanding the distribution of data in medical research and clinical practice.
**Why the Correct Answer is Right**
The correct answers, **mean**, **median**, and **mode**, are all measures of central tendency. The **mean** is the average value, the **median** is the middle value when the data is sorted, and the **mode** is the most frequently occurring value. Each of these measures provides insight into the central tendency of a dataset, albeit in different ways and with different applications.
**Why Each Wrong Option is Incorrect**
**Option D:** **Variance** is a measure of dispersion, not central tendency, as it describes the spread of the data from the mean.
**Option E:** **Range** is also a measure of dispersion, representing the difference between the highest and lowest values in the dataset, and does not indicate central tendency.
**Clinical Pearl / High-Yield Fact**
In clinical research, understanding the differences between **mean**, **median**, and **mode** is crucial for accurately interpreting data, especially in skewed distributions where the **mean** may not accurately represent the central tendency.
**Correct Answer: c) Mode**