Application of certain queries to less than 100% of the
population(group of all items that we are trying to observe and
analyze) is known as Sampling.
Advantages of
statistical sampling.
Sampling have various benefits to us. Some of the advantages are
listed below:
- Sampling saves time to a great extent by reducing the volume of
data. You do not go through each of the individual items.
- Sampling Avoids monotony in works. You do not have to repeat
the query again and again to all the individual data.
- When you have limited time, survey without using sampling
becomes impossible. It allows us to get near-accurate results in
much lesser time
- When you use proper methods, you are likely to achieve higher
level of accuracy by using sampling than without using sampling in
some cases due to reduction in monotony, data handling issues
etc.
- By using sampling, you can get detailed information on the data
even by employing small amount of resources.
Disadvantages
of Sampling
Every coin has two sides. Sampling also have some demerits. Some
of the disadvantages are:
- Since choice of sampling method is a judgmental task, there
exist chances of biasness as per the mindset of the person who
chooses it.
- Improper selection of sampling techniques may cause the whole
process to defunct.
- Selection of proper size of samples is a difficult job.
- Sampling may exclude some data that might not be homogenous to
the data that are taken. This affects the level of accuracy in the
results.