What is sampling?
Sampling is the method to select the part from the population. It is a subset of the population which is used to the entire population. Population is the entire group of entity. Population can be finite or it can be infinite. It is quite large group of entity which is very difficult to be studied.
For example: The galaxy is the population and the solar system from the galaxy will be the sub group of the galaxy and will be consider as the sample.
Types of sampling:
There are two types of sampling:
1. Non probability sampling:
Non probability sampling is one in which samples are selected from the population without having the chances of being selected. It is based on judgment and is more biased in nature.
Types of Non probability sampling:
a. Judgmental sampling:
The judgmental sampling is based on the judgment of that people who have complete knowledge about the relevant population. That person is familiar with the characteristics of the selected population.
b. Convenient sampling:
The convenient sampling is one in which samples are selected on the basis of convenience to study them. This is based on person’s easiness to study that sample.
c. Quota sampling:
In quota sampling quotas have been allocated to the population’s sub-groups and then samples are selected according to the quotas allocated to the groups. More biased in nature.
2. Probability sampling:
Probability sampling is one in which samples have equal or some chances of being selected from the population. It is more unbiased in nature.
Types of probability sampling:
a. Random Sampling:
Random sampling is one the most important type of sampling and most widely used sampling technique. In random sampling the samples have equal chances of being selected and they are chosen without biasness.
b. Purposive sampling:
Purposive sampling is use when one wants to do in-depth study. This type of sampling depends on the purpose of the study only relevant samples are selected under consideration.
c. Stratified sampling:
On the basis of characteristics the population is sub divided into small groups known as stratum and then afterward equal numbers of samples are selected from these stratums.
d. Cluster sampling:
Clusters are made in the population. Like the population is school of America. Clusters are made according to states and then samples are selected from these clusters.
