Step 1: Understanding non-probability sampling.
Non-probability sampling methods are those where not every member of the population has an equal chance of being selected. The choice of sample is often based on accessibility, judgment, or availability.
Step 2: Definition of convenience sampling.
Convenience sampling is a type of non-probability sampling in which samples are selected from the part of the population that is easiest to access. For example, asking friends, classmates, or people nearby to participate in a survey.
Step 3: Why other options are incorrect.
- Simple random sampling (A): A probability method where every member has an equal chance of being chosen. Not based on convenience.
- Snowball sampling (B): Used when subjects are hard to locate; one participant refers the next. More useful in hidden populations.
- Stratified random sampling (D): A probability sampling method where population is divided into strata, and samples are taken proportionally. Not convenience-based.
Thus, the method described in the question is clearly Convenience Sampling.
\[
\boxed{\text{Convenience sampling}}
\]
Reading in the staff stationed at P measured by a dumpy level is 3.5 m. The dumpy level is stationed at Q. The Reference Level (RL) at point P is 96.5 m and the height of the dumpy level is 1.25 m. The RL at point Q is \(\underline{\hspace{1cm}}\) m.

P and Q play chess frequently against each other. Of these matches, P has won 80% of the matches, drawn 15% of the matches, and lost 5% of the matches.
If they play 3 more matches, what is the probability of P winning exactly 2 of these 3 matches?