Assume you have a membership roster for a professional organization that has 10,000 members. Each member belongs to a separate professional interest group, and there are 20 professional interest groups. You belong to Professional Interest Group 7. You conduct a sample as follows. At the national meeting, you select 50 members in your group who are attending a particular session with you. What sampling method is being used? Assume you have a membership roster for a professional organization that has 10,000 members. Each member belongs to a separate professional interest group, and there are 20 professional interest groups. You conduct a sample as follows. Using a table of random numbers you select 20 members from each group and measure the selected 400 members. What sampling method is being

Clara Dennis

Clara Dennis

Answered question

2022-11-07

Assume you have a membership roster for a professional organization that has 10,000 members. Each member belongs to a separate professional interest group, and there are 20 professional interest groups. You belong to Professional Interest Group 7. You conduct a sample as follows. At the national meeting, you select 50 members in your group who are attending a particular session with you. What sampling method is being used?
Assume you have a membership roster for a professional organization that has 10,000 members. Each member belongs to a separate professional interest group, and there are 20 professional interest groups. You conduct a sample as follows. Using a table of random numbers you select 20 members from each group and measure the selected 400 members. What sampling method is being used?

Answer & Explanation

Marshall Flowers

Marshall Flowers

Beginner2022-11-08Added 20 answers

Stratified Random Sampling:
The groups, into which the population is divided are called strata or each group is called stratum and the whole procedure of dividing the population into the strata and then drawing a random sample from each one of the strata is called stratified random sampling.
In both the cases, the population is very heterogeneous and considerations of cost limit the size of the sample, it may be found impossible to get a sufficiently precise estimate by taking a simple random sampling from the entire population. To estimate the population mean ot total with greater precision is to divide the population in several groups, each of which is more homogeneous then the entire population. This is the procedure of stratified random sampling. So we use Stratified random sampling in both the parts.

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