A market researcher randomly selects 1 00 drivers under 45 years of age and 2 00 drivers over 45 years of age. Identify the type of sampling used in this example. a) convenience systematic b) cluster simple c) random stratified

(c). Random Stratified

Explanation:

Sampling refers to selection of a number of observations for analysis as a representative of the entire population of observations wherein the results would be interpreted the same as if the whole population was subject to analysis.

In a stratified random sampling, the observations are divided into small groups known as strata which relate to a sample interval, from which an item is chosen at random.

In stratified sampling, the selection of an item is taken from the observations belonging to a strata belonging to a particular sample interval.

In the given case, stratified random sampling has been used.