Question

define random sampling. give an example of when random sampling is preferred. question 2 2 pts define stratified sampling. give an example of when stratified sampling is preferred

Explanation:

Random sampling is a sampling method where each member of the population has an equal chance of being selected. It is preferred when the population is homogeneous and there is no need to account for specific subgroups. For example, if a researcher wants to estimate the average height of students in a small - sized school where students are relatively similar in characteristics, they can use random sampling to select a group of students for measurement.

Answer:

Random sampling is a sampling technique where every element in the population has an equal probability of being selected. An example of when it is preferred is estimating the average height of students in a small, homogeneous - characteristic school by randomly selecting students for measurement.