Despite its advantages, random sampling poses several challenges:
Practicality: True random sampling can be logistically difficult and costly, especially in large or geographically dispersed populations. Non-Response: Some selected individuals may not respond or participate, potentially leading to non-response bias. Sampling Error: Even with random sampling, there's always a possibility of sampling error, where the sample may not perfectly represent the population due to random variation.
