What’s the type of sampling, if a random sample is taken from a characteristic population. eg. Hindus, Muslims, Christian etc-
**Core Concept**
Proportional or stratified sampling is a method used to select a representative sample from a larger population, where the population is divided into distinct subgroups or strata, such as different ethnic or religious groups.
**Why the Correct Answer is Right**
In this scenario, the researcher is attempting to capture the diversity of the population, which is characterized by multiple strata, such as Hindus, Muslims, Christians, etc. By dividing the population into these distinct subgroups, the researcher can ensure that each subgroup is adequately represented in the sample. This approach helps to reduce sampling bias and ensures that the sample is more representative of the population as a whole.
**Why Each Wrong Option is Incorrect**
* **Option A:** This option is incorrect because simple random sampling does not account for the distinct subgroups within the population. It would result in a sample that may not be representative of the population's diversity.
* **Option B:** Systematic sampling involves selecting samples based on a fixed interval or pattern, which may not be suitable for a population with distinct subgroups.
* **Option C:** Convenience sampling involves selecting samples based on ease of access, which may introduce bias and result in a sample that is not representative of the population.
**Clinical Pearl / High-Yield Fact**
When dealing with populations that have distinct subgroups, it's essential to use proportional or stratified sampling to ensure that the sample is representative of the population's diversity.
**Correct Answer: C. Systematic sampling is not the best choice in this scenario; however, the correct answer isn't listed. The correct answer would be a sampling method that accounts for the distinct subgroups, such as, **Proportional Stratified sampling**.