Difference between random and non random sampling with examples

Random sampling is a sampling technique where each sample has an equal probability of getting selected.

What is Non-random Sampling?

Non-random sampling is a sampling technique where the sample selected will be based on factors such as convenience, judgement and experience of the researcher and not on probability.

What are the main differences between Random and Non-random Sampling?

The main differences include the selection process, biases involved, representation of population, and complexity. Random sampling is unbiased, based on probability, representative of the entire population, and simple. Non-random sampling is biased, based on other factors, lacks representation of the entire population, and is somewhat complex.

Get 6 Months SuperCoaching @ just

Your Total Savings ₹1764