The Differences Between a Cluster Sample and a Stratified Sample

question 59

Multiple Choice

The differences between a cluster sample and a stratified sample are that in a

• A)cluster sample,the parent population is divided into mutually exclusive and exhaustive subsets.
• B)stratified sample,the parent population is divided into mutually exclusive and exhaustive subsets.
• C)stratified sample,a simple random sample of elements is chosen independently from each group or subset,while in a cluster sample,a random sample of the subsets is selected.
• D)cluster sample,a simple random sample of elements is chosen independently from each group or subset,while in a stratified sample,a random sample of the subsets is selected.
• E)None of these are correct.

---

Definitions:

Logarithms

The exponent or power to which a base number must be raised to produce a given number, fundamentally related to exponential functions.

Expand

To simplify an expression by distributing multiplication over addition or subtraction, often involving algebraic expressions.

Properties

Characteristics or attributes that help define mathematical objects, operations, or relations.

Logarithms

The level to which a base, commonly 10 or e, has to be lifted to yield a particular number.