**Core Concept**
The question is asking about central tendency, which is a statistical measure used to describe the distribution of data in a group. Central tendency provides a single value to represent the middle or typical value of the dataset. There are three main types of central tendency: mean, median, and mode.

**Why the Correct Answer is Right**
The correct answer depends on the type of data distribution. For a normal distribution, the mean is the best central tendency as it is the average value of the dataset. The mean is calculated by summing all the values and dividing by the number of values. In a normal distribution, the mean, median, and mode are all equal, making the mean a good representation of the dataset.

**Why Each Wrong Option is Incorrect**
**Option A:** This option is incorrect because the median is best used for skewed distributions, not normal distributions. The median is the middle value of the dataset when it is sorted in order.

**Option B:** This option is incorrect because the mode is the most frequently occurring value in the dataset. While the mode can be a good representation of the data, it is not always the best central tendency, especially in normal distributions.

**Option C:** This option is incorrect because the range is a measure of variability, not central tendency. The range is the difference between the highest and lowest values in the dataset.

**Clinical Pearl / High-Yield Fact**
When analyzing a dataset, it's essential to consider the type of distribution to determine the best central tendency. A normal distribution is symmetric, with the majority of the data points clustered around the mean. In contrast, a skewed distribution has a longer tail on one side, making the median a better representation.

**Correct Answer:** A. Mean