METHODS OF DATA COLLECTION
CONCEPT OF SAMPLING AND OTHER CONCEPTS RELATED TO SAMPLING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
simple random sampling
|
|
|
systematic sampling
|
|
|
stratified sampling
|
|
|
cluster sampling
|
Detailed explanation-1: -Simple random sampling. In simple random sampling (SRS), each sampling unit of a population has an equal chance of being included in the sample. Consequently, each possible sample also has an equal chance of being selected.
Detailed explanation-2: -A random sample only requires that every item in a population has a greater than zero chance of being drawn. Unlike in a simple random sample, that probability may or may not be equal for every item. In simple random sampling, every element of a 1, 000-item set has an equal probability of one in 1, 000 to be selected.
Detailed explanation-3: -Simple random sampling is when every member of the population has an equal chance of selection for the sample. This study used a cluster sampling technique that is one type of random sampling plan.
Detailed explanation-4: -Probability Sampling This Sampling technique uses randomization to make sure that every element of the population gets an equal chance to be part of the selected sample. It’s alternatively known as random sampling.