Question
In: Statistics and Probability
Randomly selecting a proportionate amount from subgroups is an example of: a. Random sampling b. Stratified...
Randomly selecting a proportionate amount from subgroups is an example of:
| a. |
Random sampling |
|
| b. |
Stratified sampling |
|
| c. |
Systematic sampling |
|
| d. |
Convenience sampling |
Solutions
orchestra answered 2 years agoRelated Solutions
Compare the different types of random sampling methods. Describe an example in which stratified sampling and...
Compare the different types of random sampling methods. Describe
an example in which stratified sampling and cluster sampling should
be used. Do not cite examples already provided by peers. In replies
to peers, provide analysis and recommendations.
Compare the different types of random sampling methods. Describe an example in which stratified sampling and...
Compare the different types of random sampling methods. Describe
an example in which stratified sampling and cluster sampling should
be used
Random probability sampling includes all except which of the following? a. Simple random sampling b. Stratified...
Random probability sampling includes all except which of the
following?
a.
Simple random sampling
b.
Stratified random sampling
c.
Cluster sampling
d.
Purposive sampling
Compare and contrast simple random sampling, stratified random sampling, and systematic sampling. Draw diagrams to show...
Compare and contrast simple random sampling,
stratified random sampling, and systematic sampling. Draw diagrams
to show an example of each. What steps should be carried out to
perform a simple random sample?
Interviewing selected people at a local supermarket can be considered an example of ________ sampling. a. Random b. Systematic c. Convenience d. Stratified
Interviewing selected people at a local supermarket can be considered an example of ________ sampling.a. Randomb. Systematic c. Convenienced. Stratified
1. In the following two situations, either stratified random sampling method or cluster sampling method is...
1. In the following two situations,
either stratified random sampling method or cluster sampling method
is used.
(1) Identify the sampling method used,
and (2) briefly justify your choice.
To get an idea of how much detached houses in the city of
Vancouver cost these days, Joe went to a real estate web site (like
realtor.ca) to get some information. He divided the city of
Vancouver into 20 districts or communities; randomly selected 5 of
them; and all detached houses...
How is cluster sampling different from stratified sampling? Explain the difference in the between and within...
How is cluster sampling different from stratified sampling?
Explain the difference in the between and within variance of
clusters vs strata.
Generally, stratified random sampling has a design effect of less than 1, while cluster sampling has...
Generally, stratified random sampling has a design effect of
less than 1, while cluster sampling has a design effect of more
than 1. Why?
Question one: Pick one of the following sampling methods (simple random sampling, systematic, cluster clamping, stratified...
Question one: Pick one of the following sampling methods (simple
random sampling, systematic, cluster clamping, stratified
sampling). Describe how you would implement this sampling method if
you were going to create a sample of 50 students.
Question two: What in your judgement is wrong with convenience
sampling? Also, describe a situation where in your judgement
conveniences sampling might be appropriate and explain why.
(Response 100 words if possible)
1. How does one go about constructing a sampling frame? 2. When is stratified random sampling...
1. How does one go about constructing a sampling
frame?
2. When is stratified random sampling more efficient
than simple random sampling?
3. When is it advantageous, or even necessary, to employ
disproportionate stratified random sampling?
4. When is nonprobability sampling
justified?
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