A research wants to examine the grams of fat in milk. They separate the milk into the groups: Whole Milk, 2% Fat, and Low Fat. Then randomly select cartons from each of the groups to measure grams of fat. This is an example of ____________ sampling.

Respuesta :

if there was a random selection of  cartons from each of the groups to measure grams of fat. This is an example of stratified sampling

What is stratified sampling?

Stratified sampling can be defined as a method of sampling that involves  division of a population into smaller groups or items, these are called strata.

This groups or strata are then arranged or organized based on the shared characteristics or attributes of the members in the group of the given population.

Stratification is the process of classifying the population into groups.

Features of  stratified sampling are;

  • It is a  precise metric
  • It provides for a better representation of the overall population
  • It can be time-consuming, and potentially expensive

From the information given, we can see that it is an example of stratified sampling.

Thus, if there was a random selection of cartons from each of the groups to measure grams of fat. This is an example of stratified sampling

Learn more about sampling here:

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