10 Sampling Examples

In statistics it is called sampling to the selection procedure of a representative part of a population on which a study will be made. analysis. The objective of sampling is that this part serves to explain the characteristics of the whole.

When doing statistical research, it is not always possible to carry out a census (a study that includes the entire population). population). Therefore, a sample is selected, that is, a representative cut of that totality.

Sampling determines how individuals are to be chosen from a statistical sample. Some of the criteria taken into account are:

Sampling types

Samplings are classified according to the method used to select the statistical sample and can be:

Sampling Examples

1. Simple random sampling. A research team seeks to know what is the average income of the population of a city. To carry out the representative sample, a list of all the individuals is made, each one is assigned a number and with a special computer program 300,000 people are chosen.
2. Cluster sampling
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   . The Ministry of Education seeks to determine what are the characteristics that differentiate public universities from private ones. Ten public and ten private universities are chosen randomly as a representative sample.
3. systematic sampling. A laboratory is investigating the effectiveness of a drug. To select the representative sample, a list of all the patients who were treated with that drug is made and one individual is chosen every thirty.
4. Stratified random sampling. A team of researchers is analyzing the opinions of the population about the reform of a law. To select the representative sample, the population is divided into four age groups (from 18 to 30 years old, from 30 to 45 years old, from 46 to 60 years old and over 60 years old) and then the individuals are chosen in a random.
5. Sampling for convenience. A company of marketing is carrying out a study on the criteria for customer choice of brands. To select the representative sample, people are interviewed in clothing stores and supermarkets, which are in the same neighborhood.
6. Accidental or consecutive sampling. A researcher is studying the preferences of subjects in relation to literature. To select the representative sample, he chose a bookstore and will interview customers who go there in the first week of July.
7. subjective sampling. A researcher is studying the effectiveness of television advertising campaigns. To select the representative sample, choose people who have made ads and viewers.
8. snowball sampling. A group of researchers is doing a study on a secret intelligence service. To make the selection of the representative sample, they should contact a person who has worked in this agency and then provide them with information on other individuals who want to participate in the interviews.
9. Quota sampling. A group of researchers is studying the division of domestic tasks according to gender. To select the representative sample, they must take into account that women represent 47.2% and men 52.8% of the population.

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