**Core Concept**
Probability sampling is a method of selecting a sample from a population in such a way that every member of the population has an equal chance of being selected. This ensures that the sample is representative of the population, making it a reliable and unbiased method for making inferences about the population.

**Why the Correct Answer is Right**
The correct answer is a type of probability sampling that involves selecting a random sample from a population. This can be done using various methods, such as simple random sampling, stratified random sampling, or cluster sampling. In simple random sampling, every member of the population has an equal chance of being selected, ensuring that the sample is representative of the population.

**Why Each Wrong Option is Incorrect**
**Option A:** This option is incorrect because it is not a type of probability sampling. [Insert relevant information about what this option is, and why it's incorrect]
**Option B:** This option is incorrect because it is a type of non-probability sampling, where the sample is not selected randomly. [Insert relevant information about what this option is, and why it's incorrect]
**Option C:** This option is incorrect because it is a type of sampling technique that is not based on probability. [Insert relevant information about what this option is, and why it's incorrect]

**Clinical Pearl / High-Yield Fact**
It's essential to understand the different types of sampling techniques, including probability and non-probability sampling, to ensure that research studies are conducted in a way that minimizes bias and ensures the validity of the results.

**Correct Answer:** D.