Define sampling? Discuss two methods of probability sampling with suitable examples.

 Sampling is a sampling technique used when "natural" but relatively homogeneous groupings are evident in a statistical population. It is often used in marketing research. In this technique, the total population is divided into these groups (or clusters) and a simple random sample of the groups is selected.

The Methods of Probability Sampling

There are several types of probability sampling. Below we explain the basics of each, and address their advantages and disadvantages.

1.Simple Random Sampling

Simple random sampling is considered the easiest method of probability sampling. 

To perform simple random sampling, all a researcher must do is ensure that all members of the population are included in a master list, and that subjects are then selected randomly from this master list.

While simple random sampling creates samples that are highly representative of the population, it can be time consuming and tedious when creating large samples. 

2.Stratified Random Sampling

Stratified random sampling is also referred to as proportional random sampling. 

In stratified random sampling, the subjects are initially grouped into different classifications such ___ _________ _________ _______ __________ _____ __________ _______ ____ ____.
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