Probability sampling is considered more scientific as it ensures that each member of the population has an equal chance of being included in the sample.

Advantage of using probability sampling:
Probability sampling is considered more scientific compared to other sampling methods due to the following reasons:

1. Random selection:
- In probability sampling, every member of the population has a known and non-zero chance of being selected. This random selection process ensures that the sample is representative of the entire population.

2. Generalizability:
- Probability sampling allows researchers to make generalizations about the population based on the sample data. Since the sample is selected randomly, the findings can be applied to the entire population with a certain level of confidence.

3. Minimizes bias:
- Probability sampling helps in minimizing selection bias, as every individual in the population has an equal chance of being included in the sample. This reduces the risk of systematic errors and ensures the reliability of the results.

4. Statistical inference:
- With probability sampling, researchers can use statistical techniques to estimate parameters, test hypotheses, and make predictions about the population. This enables them to draw more accurate and valid conclusions from the sample data.

5. Replicability:
- The results obtained through probability sampling are replicable, meaning that other researchers can replicate the study using the same sampling method and population to verify the findings. This enhances the credibility and trustworthiness of the research.
In conclusion, the primary advantage of using probability sampling is its scientific rigor and ability to provide reliable and generalizable results for making informed decisions and drawing valid conclusions.