**Core Concept**
Random sampling is a statistical technique used to select a representative subset of individuals from a larger population. In this process, every member of the population has an equal chance of being selected.

**Why the Correct Answer is Right**
The correct answer is based on the concept of probability in statistical sampling. In random sampling, each member of the population has an equal probability of being selected, which is typically denoted as 1/n, where n is the total number of individuals in the population. This ensures that every individual has an equal chance of being selected, making the sample representative of the population.

**Why Each Wrong Option is Incorrect**
**Option A:** This option is incorrect because it does not accurately represent the probability of being selected in random sampling.
**Option B:** This option is incorrect because it implies a probability greater than 1, which is not possible in statistical sampling.
**Option C:** This option is incorrect because it implies a probability less than 1/n, which would not be representative of the population.

**Clinical Pearl / High-Yield Fact**
It's essential to note that random sampling ensures that the sample is representative of the population, which is crucial in statistical analysis and research. This is particularly important in medical research, where sample selection can significantly impact the accuracy of study findings.

**Correct Answer: . 1/n**