Question

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