Step 1: Understanding the Concept:
Probability sampling refers to any sampling method that utilizes some form of random selection. The goal is to obtain a representative sample of a population.
Step 2: Detailed Explanation:
In Simple Random Sampling, every single unit or individual in the entire population has an equal, non-zero probability of being included in the sample. This is usually done using a random number generator or a lottery system.
Stratified Sampling involves dividing the population into groups (strata) first, then sampling within them. While it uses randomness, the "equal chance" refers specifically to the definition of a basic random sample.
Systematic Sampling picks every $k^{th}$ unit.
Purposive Sampling is a non-probability method based on the researcher's judgment.
Step 3: Final Answer:
Random Sampling provides an equal chance of selection to every member.