In stratified sampling, the population of interest is first divided into several non-overlapping subsets called cluster. O True O False (Note: This statement is false. In stratified sampling, the population is divided into strata, not clusters. Clusters are used in cluster sampling.)
In stratified sampling, the population of interest is first divided into several non-overlapping subsets called cluster. O True O False (Note: This statement is false. In stratified sampling, the population is divided into strata, not clusters. Clusters are used in cluster sampling.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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
Transcribed Image Text:In stratified sampling, the population of interest is first divided into several non-overlapping subsets called cluster.
O True
O False
(Note: This statement is false. In stratified sampling, the population is divided into strata, not clusters. Clusters are used in cluster sampling.)
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Step 1
Introduction:
Stratified sampling is one of the commonly used sampling techniques, that usually uses some random methods for the collection of the actual samples.
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