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

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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) In a stratified sample, random samples from each strata are included In a stratified sample, every sample of size n has an equal chance of being included. In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included In a cluster sample, every sample of size n has an equal chance of being included. In a stratified sample, the only samples possible are those including every kth item from the random starting position In a cluster sample, the only samples possible are those including every kth item from the random starting position In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included. In a cluster sample, random les from each strata are included.
Transcribed Image Text:Explain the difference between a stratified sample and a cluster sample. (Select all that apply.) In a stratified sample, random samples from each strata are included In a stratified sample, every sample of size n has an equal chance of being included. In a stratified sample, the clusters to be included are selected at random and then all members of each selected cluster are included In a cluster sample, every sample of size n has an equal chance of being included. In a stratified sample, the only samples possible are those including every kth item from the random starting position In a cluster sample, the only samples possible are those including every kth item from the random starting position In a cluster sample, the clusters to be included are selected at random and then all members of each selected cluster are included. In a cluster sample, random les from each strata are included.
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