Question

Types of sampling include______________.
A. Random sampling
B. Deliberate sampling
C. Both A & B
D. None of the above

Answer 1

Sampling is a process which is also called probability sampling which is used in statistical analysis in which already a predetermined number of observations are taken from a larger population. That is every member of the population has a chance of being selected. It is mainly used in quantitative research. There are types of sampling which will be discussed further.

Complete step-by-step solution:
There are four main types of sampling:
1. Random sampling.
2. Systematic sampling.
3. Stratified sampling
4. Cluster sampling.
The number of individuals in a sample depends on the size of the population, and how precisely we want the results to represent the population as a whole.
We can use a sample size calculator, which is a calculator which calculated the size of the sample, to determine how big the sample should be. So in general, the larger the sample size, the more accurate and confident we can make inferences about the whole population.
Random sampling:
In this sampling method there is an equal chance for everyone in the population to get selected. The sampling frame should include the whole population.
Systematic sampling:
This sampling method is similar to the random sampling method, but it is a bit easy to conduct. Everyone in the population is given a particular number, but instead of randomly generating numbers, individuals are chosen at regular intervals.
Stratified sampling:
This sampling method involves dividing the population into subpopulations that may differ in important ways. It allows us to draw more precise conclusions by ensuring that every subgroup is properly represented in the sample.
Cluster sampling:
This sampling method also involves dividing the populations into subgroups, but each subgroup should have similar characteristics to the whole sample.
Instead of sampling individuals from each subgroup, the entire subgroup is randomly selected.

Option A is the correct answer.

Note: It is important to note that out of all the sampling methods only random sampling has the equal probability of every person to get selected, as the sample frame includes the whole set of observations or here the population.