Which of the following is the non-random method of selecting sampling from a population?

Solution (By Examveda Team)

In sampling methods, both random and non-random techniques are employed to gather data from a population.

Stratified Sampling:
Explanation: This is a random sampling technique where the population is divided into subgroups or strata based on certain characteristics, and then samples are randomly selected from each stratum.
Example: If a population is categorized by age, samples are randomly taken from each age group.

Quota Sampling:
Explanation: In quota sampling, the population is divided into specific groups, and a certain number of individuals are chosen from each group, not necessarily through a random process.
Example: If a population is divided by gender, a quota of participants from each gender may be selected purposefully.

Systematic Sampling:
Explanation: In systematic sampling, a fixed interval is used to select samples after an initial random start. It is a structured approach but not entirely random.
Example: Choosing every 5th person from a list after a random starting point.

Cluster Sampling:
Explanation: The population is divided into clusters, and then some clusters are randomly selected, and all members from those clusters are included in the sample.
Example: If a city is divided into districts, randomly select some districts, and survey all individuals within those districts.

In the context of the question, Quota Sampling is the non-random method as it involves selecting individuals purposefully based on certain quotas rather than entirely at random.

Therefore, the correct answer is Option B: Quota sampling.