Identify the sampling design: SCPS wants to survey its employees.  They pick 4 schools from the county and survey every single employee in each of the 4 buildings.

• cluster

• volunteer

• systematic

• simple random

Identify the sampling design: Student government randomly samples 25 students of each of the four classes.

• stratified

• volunteer

• systematic

• simple random

Identify the sampling design: Mr. Rhoades puts all of his students' names in a hat and randomly selects one without looking.

• cluster

• volunteer

• systematic

• simple random

Identify the sampling design: The LFCC registrar wants to investigate attitudes of their graduates.  The registrar randomly selects 100 names from each of the four past graduating classes.

• cluster

• volunteer

• stratified

• simple random

Identify the sampling design: School admin conducted a survey on post-graduation plans.  Students of senior class 2018 were listed in order by class rank.  The school selected a random number between 1 and 15, obtaining a number 11.  Then, they selected every 11th student for the survey.

• cluster

• volunteer

• systematic

• simple random

A teacher wants to know the average time spent doing homework by the students in her class of 20 girls and 5 boys.

She selects the five closest to her desk.

• simple random

• Self Selected.

• Convenience

• Systematic Random

A teacher wants to know how well her students are doing on a topic. She randomly picks one class to survey.

• Simple Random

• Cluster

• Stratified

• Systematic

Units of the population are ordered in some fashion.  Usually, every k-th unit is chosen.

• proportional

• probable

• stratified

• systematic

Units of the population are grouped; one or more groups are selected at random.  All units of that group are included in the sample.

• cluster sample

• simple random

• stratified

• proportional

A teacher puts students’ names in a hat and chooses without looking to get a sample of 33 students. What kind of sampling technique is used?

• Simple Random Sampling

• Cluster Sampling

• Stratified Sampling

• Systematic sampling