Suppose that when selecting the 5,000 homes to participate in scanner studies in one city, the research firm first divided the city's population into upper-, middle-, and lower-class families, then took a probability sample within each group. this would be a(n) sample.

stratified

Explanation:

Stratified sampling is the method of probability sampling. In this type of sampling technique, the researcher divides the total number of data into subgroups of different kinds. The result is then randomly selected out of the strata or the subgroups. The strata or the subgroups prepared in this type of sampling needs to be unique and not overlapping. As per the given question, the sampling method used is a stratified sampling method. The homes have been divided according to the income and then random probability sample has been decided.

all cities have a governor

all cities are in states or provnies then country

all cities have people

difference

some are rich

some are poor

some are average

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