AQR Quarter 3 Review

A university wants to survey its students about campus dining options. They assign each student a number and use a random number generator to select 200 students to participate.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A pharmaceutical company is testing a new allergy medication. They write the names of 500 volunteers on slips of paper, place them in a box, and randomly draw 250 names to participate in the study.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A high school principal wants to understand student opinions on school policies. He places all student ID numbers in a database and randomly selects 100 students to complete a survey.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A wildlife researcher wants to estimate the number of deer in a forest. She tags 200 deer at random locations in the forest by using a GPS-based random selection method.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A polling organization wants to survey voters about an upcoming election. They divide voters into age groups (18-29, 30-49, 50-64, 65+) and randomly select an equal number from each group.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A school district wants to assess student performance. They separate students into groups based on grade level and randomly select 50 students from each grade to take a standardized test.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A hospital is conducting a study on patient recovery rates. They divide patients into groups based on their primary diagnosis and randomly choose an equal number from each group to participate.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A university is analyzing course evaluations. They separate students by major and randomly select a proportional number of students from each major to complete the evaluation.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A car manufacturer wants to inspect quality control. They select every 50th car coming off the production line for inspection.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling

A teacher wants to check students' understanding of a lesson. She arranges students in alphabetical order and selects every 10th student to answer a question.

• Simple Random Sampling

• Stratified Random Sampling

• Systematic Sampling

• Cluster Sampling

• Convenience Sampling