**Core Concept**
A bimodal distribution in statistics refers to a probability distribution with two distinct peaks or modes, indicating that the data is spread across two different groups or populations. This type of distribution is often observed in studies where there are two distinct populations or subgroups within the sample.

**Why the Correct Answer is Right**
The correct answer represents a bimodal distribution because it has two distinct peaks, one on the left and one on the right. This type of distribution is commonly seen in epidemiological studies where there are two distinct age groups, such as children and adults, or in studies where there are two distinct subpopulations with different characteristics. The presence of two peaks indicates that the data is not normally distributed, and a bimodal distribution is a more accurate representation of the data.

**Why Each Wrong Option is Incorrect**
* **Option A:** A unimodal distribution is a probability distribution with a single peak or mode, which is the opposite of a bimodal distribution.
* **Option B:** A uniform distribution is a probability distribution where every value within a certain range has an equal probability of occurring, which does not have two distinct peaks.
* **Option C:** A normal distribution is a probability distribution that is symmetric about the mean and has a single peak, which is not bimodal.

**Clinical Pearl / High-Yield Fact**
A bimodal distribution is often seen in studies where there are two distinct subpopulations or age groups, and it's essential to recognize this type of distribution to accurately interpret the data and make informed decisions.

**Correct Answer: D. A histogram showing two distinct peaks.**