The Difference Between a Cluster Sample and a Stratified Random

question 41

Multiple Choice

The difference between a cluster sample and a stratified random sample is:

• A)cluster samples study all possible clusters; stratified random samples randomly select strata.
• B)cluster samples use oversampling; stratified random samples use undersampling.
• C)cluster samples use randomly selected clusters; stratified random samples use predetermined strata.
• D)There is no difference between cluster samples and stratified random samples.

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Definitions:

T Value

A ratio that is derived from the standardized difference between two sample means in a t-test, used to determine the statistical significance of the difference.

Probability

The measure of the likelihood that an event will occur, expressed as a number between 0 and 1.

Test Statistic

A calculated value used in statistical hypothesis testing to compare against a critical value to decide whether to reject the null hypothesis.

T Value

A statistic calculated in a T-test that measures the size of the difference relative to the variation in your sample data.