The question asks to identify the types of probability sampling from the given options.

Sampling Method Analysis

We need to determine which of the listed methods are forms of probability sampling, where each unit in the population has a known, non-zero chance of being selected.

• A. Simple Random Sampling: This is a core probability sampling technique. Every member of the population has an equal and independent chance of being selected.
• B. Proportionate Stratified Sampling: This is a probability sampling method. The population is divided into strata (groups), and a random sample is drawn from each stratum in proportion to the stratum's size in the population.
• C. Disproportionate Stratified Sampling: This is also a probability sampling method. Like proportionate stratified sampling, the population is divided into strata, but the sample size for each stratum is determined based on factors other than population proportion (e.g., variability within the stratum). Selection within strata is random.
• D. Saturation Sampling: This is a non-probability sampling technique, often used in qualitative research. Sampling continues until no new information or themes emerge, not based on random selection.

Conclusion on Probability Samples

Based on the analysis:

• Simple Random Sampling (A) is a probability method.
• Proportionate Stratified Sampling (B) is a probability method.
• Disproportionate Stratified Sampling (C) is a probability method.
• Saturation Sampling (D) is a non-probability method.

Therefore, options A, B, and C represent types of probability sampling. This corresponds to the first choice.