CLUSTER
SAMPLING
,• Sampling units - It is one of the basic
assumptions in any sampling procedure that
the population can be divided into a finite
number of distinct and identifiable units.
• Elements of the population - The smallest
units into which the population can be
divided.
• Clusters - The groups of such elements.
,PROPERTIES
, • The population is divided into N groups, called
clusters.
• The researcher randomly selects n clusters to
include in the sample.
• The number of observations within each cluster
Mi is known, and M = M1 + M2 + M3 + ... + MN-1
+ MN.
• Each element of the population can be assigned
to one, and only one, cluster.
SAMPLING
,• Sampling units - It is one of the basic
assumptions in any sampling procedure that
the population can be divided into a finite
number of distinct and identifiable units.
• Elements of the population - The smallest
units into which the population can be
divided.
• Clusters - The groups of such elements.
,PROPERTIES
, • The population is divided into N groups, called
clusters.
• The researcher randomly selects n clusters to
include in the sample.
• The number of observations within each cluster
Mi is known, and M = M1 + M2 + M3 + ... + MN-1
+ MN.
• Each element of the population can be assigned
to one, and only one, cluster.
