Determine if the following situations use random or nonrandom sampling. Then, identify what type of

Probability sampling:
In the probability sampling each unit of the populations has the equal chance of being included in the sample. It is the random sampling and is more expensive and also time consuming. Some of the examples of probability sampling are simple random sampling and systematic sampling.
Simple random sampling:
Simple random sampling is defined as a method of sampling in which, a sample of size n is drawn from a population of size N by using a random method, such as a random number table or software such as EXCEL, etc. to ensure that each of the N population units has the same probability of being selected in each draw. The simple random sampling gives a sample that is representative of the population.
Stratified sampling:
In stratified sampling, the entire heterogeneous population is divided into subpopulations. These subpopulations are called the strata’s. The samples within the strata’s are homogenous and the strata’s are different from each other.
Cluster sampling:
Cluster sampling is defined as a method of sampling in which, at first, the entire population is divided into heterogeneous subgroups, especially by geographic areas called cluster, then desired number of clusters are selected from all the clusters, usually by simple random sampling. Each cluster is expected to be representative of the population.
Systematic sampling:
Systematic sampling is defined as a method of sampling in which, at first, an entity is chosen from the first k entities in the list, followed by choosing every kth entity thereafter, till the desired sample size is obtained. It is a random sampling method.
Non-probability sampling:
In the probability sampling each unit of the populations do not have equal chance of being included in the sample. It is non-random sampling and is less expensive. Some of the examples of non-probability sampling are convenience sampling, judgment sampling and voluntary response sampling.
Convenience sampling:
A convenience sample is a type of non-probability sampling method where the sample is taken from a group of people easy to contact or to reach.
Judgement sampling or purposive sampling:
In this sampling technique samples are chosen based on researcher judgement or purpose.
Voluntary response sampling:
It is a sampling technique which is used to self-chosen participant.
1)Respondents are chosen from a list in the telephone directory. Random Sampling- Simple Random Sampling
2)There are 30 freshmen, 20 sophomores, 10 juniors, and 5 seniors enrolled in a certain course. Samples are to be taken from them according to the total number of students per year level. Random Sampling- Stratified Random Sampling
3) Minority groups of senators are to be interviewed. Random Sampling- Cluster Sampling
4) Every five files out of 500 files will be chosen. Random Sampling- Systemic Sampling
5) Animals going astray are to be observed. Non-random Sampling- Voluntary Response Sampling
6) Two thousand respondents nationwide, from regions down to barangays, are selected for a national election survey. Random Sampling- Stratified Random Sampling
7) Five hundred “likes” in Facebook are used as a basis for making a decision. Non-random Sampling- Purposive Sampling
8)Selected respondents for a study are those with Acquired Immune Deficiency Syndrome (AIDS). Non-random Sampling- Purposive Sampling
9) Ten names of students were picked out from a box containing 1,000 names written in rolled papers. Random Sampling- Simple Random Sampling
10) Selected vehicles are classified according to the last number of their plates as odd or even. Non-random Sampling- Purposive Sampling