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Made Eyewear wants to conduct a survey on consumers who wear glasses. It wants to give every person who wears glasses in the United States an equal chance of being chosen for the survey. First, though, it needs to separate those who wear glasses from those who do not. What type of sampling should Made Eyewear use

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Stratified sampling is used by Made Eyewear

Stratified sampling is is where we divide the population into groups by some characteristic such as age or occupation or gender. Then make sure our survey includes people from each group in proportion to how many there are in the whole population.

Example of this sampling is A stratified sample is one that ensures that subgroups (strata) of a given population are each adequately represented within the whole sample population of a research study. For example, one might divide a sample of adults into subgroups by age and use of eyeglasses, like 18–29, 30–39, 40–49, 50–59, and 60 and above

So, Stratified sampling is used by Made Eyewear

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