Experimental Design Stratified

Mrs. Trahan samples her class by selecting 5 girls and 7 boys.  This type of sampling is called?

• Stratified

• Systematic

• Simple

• Cluster

Farmer Joe separates his farm into 10 regions.  He then randomly selected 5 trees from each region to estimate the number of apples produced on his apple tree farm.  This is _____________ sampling.  

• Cluster

• Systematic

• Stratified

• Simple

Identify the sampling technique used:

Students are classified according to major. Twenty students are selected from each major and asked how often they use the library.

• A. Random sample

• B. Stratified sample

• C. Cluster sample

• D. Systematic sample

An SRS of 25 students is taken from each grade to form the sample.  This is what type of sampling design?

• Cluster

• SRS

• Stratified

• Multistage

Which of the following surveying methods divides individuals by a shared attribute, then randomly surveys members within each attribute-group?

• Simple random

• Stratified random

• Cluster random

• Strategic Random

A sample in which members of the population are divided into two or more subsets called strata that share a common characteristic. The participants are then randomly selected from each group.

• Systematic Random Sample

• Stratified Random Sample

• Cluster Sample

• Simple Random Sample

• A
• B
• C
• D

The president of a college randomly selects 2 students from each department to serve on a student advisory board.

• Convenience

• Systematic

• Stratified

• Simple Random

A __________ sample is used when it is important to have members from each segment of the population. Depending on the study, members are divided up into 2 or more different subsets, called strata, that share a similar characteristic, such as age, gender, ethnicity, or even political preference. A sample is then randomly selected from each strata.

A teacher conducting research on a statistical intervention decided to divide her students into age groups and then select students from each group.

• Simple Random Sampling

• Systematic Random Sampling

• Stratified Random Sampling

• Cluster or Area Sampling