Cluster sampling, stratified sampling and systematic sampling are types of

Question

Direct sampling
Indirect sampling
Random sampling
Non random sampling

Answer 1

Cluster sampling, stratified sampling, and systematic sampling are all types of random sampling.

Here's a brief explanation of each:

1. Cluster sampling: The population is divided into clusters (groups), and a random sample of these clusters is selected. All individuals within the chosen clusters are then surveyed.

2. Stratified sampling: The population is divided into distinct subgroups (strata) based on specific characteristics. Random samples are then taken from each stratum to ensure representation from all segments of the population.

3. Systematic sampling: This method involves selecting samples at regular intervals from a randomly ordered list of the population. For instance, every kth individual might be selected after a random starting point.

In contrast, non-random sampling involves methods where not all members of the population have a chance of being selected, which can lead to bias. Examples of non-random sampling methods include convenience sampling and quota sampling.