Math, asked by lolo4good, 3 months ago

When is stratified sampling appropriate?

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Stratified sampling is a good choice when the population has multiple distinct groups that are each likely to be representative of the population as a whole.


Stratified sampling is a good choice when the population has multiple distinct groups that are internally homogenous but not representative of the population as a whole.


Stratified sampling is a useful method if the population is not well understood or there are no groups within the population that need to be analyzed individually.


Stratified sampling is a useful method when the individuals in the population are generated in a continuous stream, like on an assembly line.

Answers

Answered by DepressedArmygirl
21

Answer:

Stratified sampling is a good choice when the population has multiple distinct groups that are internally homogenous but not representative of the population as a whole.

Stratified sampling is a good choice when the population has multiple distinct groups that are internally homogenous but not representative of the population as a whole.Stratified sampling is a useful method if the population is not well understood or there are no groups within the population that need to be analyzed individually.

Stratified sampling is a good choice when the population has multiple distinct groups that are internally homogenous but not representative of the population as a whole.Stratified sampling is a useful method if the population is not well understood or there are no groups within the population that need to be analyzed individually.Stratified sampling is a useful method when the individuals in the population are generated in a continuous stream, like on an assembly line.

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