Explain the difference between a stratified sample and a cluster sample.

Callie Johnston

Callie Johnston

Answered question

2022-12-02

Explain the difference between a stratified sample and a cluster sample. (Select all that apply.)
1) In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included.
2) In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included.
3) In a cluster sample, random samples from each strata are included.In a stratified sample, random samples from each strata are included.
4) In a cluster sample, the only samples possible are those including every kth item from the random starting position.In a stratified sample, the only samples possible are those including every kth item from the random starting position.
5) In a cluster sample, every sample of size n has an equal chance of being included.In a stratified sample, every sample of size n has an equal chance of being included.

Answer & Explanation

KorrektorWzy

KorrektorWzy

Beginner2022-12-03Added 4 answers

Cluster Sampling
Cluster sampling is defined as a sampling technique in which the population is divided into already existing groupings(clusters).
Then a sample of clusters is randomly selected from the population.
The sample is divided into segments (or clusters) and then the sample is taken by selecting different clusters.
Stratified Sampling
The procedure of drawing simple random samples from each stratum is known as stratified random sampling.
The sample is divided into different segments and then we take random elements from each segment
In a cluster sample , the clusters to be included are selected at random and then all members of each selected cluster are included. This is the definition of cluster sampling. so the statement is true.
Hence the statement 2 is CORRECT.
In a cluster sample, every sample of size n has an equal chance of being included. The statement is true, if we divide the samples into clusters of size n then every cluster has an equal chance of being selected.
In a stratified sample, each sample of size n has an equal chance of being included. The statement is true, we are sampling from the elements, not from the formations.
Hence the statement 5 is CORRECT.

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