Discover and Master Stratified Random Sampling with Our Comprehensive Resources and Practice Problems

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Explain why you are more likely to obtain a representative sample with proportionate stratified random sampling than with either stratified random sampling or simple random sampling.

Which of the following is not an example of probability sampling?
simple random sampling
stratified random sampling
proportionate stratified random
sampling quota sampling

Can you please give the more appropriate answer of this question with example?
A population is divided into several clusters and it has been found that all the items within a cluster are alike. Which of the sampling procedure would you adopt? Give appropriate reasons for selecting such method.

In a population divided into 4 strata, the sampling carried out in each of these strata is:
Select one:
a. probability sampling
b. stratified sampling
c. simple random sampling
d. simple sample

Which type of sampling method is used in the following?
20 people from each dorm are asked to fill out a questionnaire.
Simple random sampling, cluster sampling, systematic sampling, or stratified sampling?

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?

Give an example of stratified random sample and and a proportionate stratified random sample.

_____ is a sampling technique where the entire population is divided into groups and a random sample of these groups are selected and all observations of the selected group are included in the sample.
a. Random sampling
b. Systematic sampling
c. Cluster sampling
d. Stratified sampling

Ideally, in stratified sampling, the members of each stratum should be _ relative to the characteristic under consideration.

The difference between a cluster sample and a stratified sample is:
a) cluster samples use oversampling; stratified random samples are undersampling
b) there is no difference between them
c) cluster samples study all possible clusters; stratified random samples randomly select strata
d) cluster samples use randomly selected clusters; stratified random samples use predetermined strata

Categorize the type of sampling used in each of the following situations (simple random, stratified, systematic, cluster, convenience). Explain in a sentence or two.
To judge the appeal of a proposed television sitcom, a random sample of 10 people from each of three different age categories was selected and those chosen were asked to rate a pilot show.