Question

latch each of the following to the type of sampling technique used: The campus lists all of the students. They then collect data on the number of credits taken by randomly selected students. The campus randomly select 20 classes and then collects data on the number of credits taken by students in just those classes. The campus divides the students based on degree type, and then collects data on the number of credits of randomly selected students from each degree type. Someone on campus collects data on the number of credits students are taking by asking 30 students as they are leaving the cafeteria. The campus list all of the students and then collects data on the number of credits taken by every 5 th student on the list.

Answer 1

The sampling techniques used in the given situations are stratified sampling and convenience sampling.

Step-by-step explanation:

For the following situations:

1. A soccer coach selects players of different age groups, which is an example of stratified sampling.
2. A pollster interviews all human resource personnel in different companies, which is an example of convenience sampling.
3. A high school educational researcher interviews female and male teachers, which is an example of stratified sampling.

Answer 2

The types of sampling used in the described scenarios include simple random sampling, cluster sampling, stratified sampling, convenience sampling, and systematic sampling.

Step-by-step explanation:

The question involves identifying which type of sampling is used in various scenarios related to the collection of data on the number of credits taken by students. Here are the matched sampling techniques to the given scenarios:

Simple random sampling is when the campus lists all of the students and then collects data on the number of credits taken by randomly selected students.

A case of cluster sampling is when the campus randomly selects 20 classes and then collects data on the number of credits taken by students in just those classes.

Stratified sampling is used when the campus divides the students based on degree type and then collects data on the number of credits of randomly selected students from each degree type.

Convenience sampling is exemplified when someone on campus collects data on the number of credits students are taking by asking 30 students as they are leaving the cafeteria.

Systematic sampling is when the campus lists all of the students and then collects data on the number of credits taken by every 5th student on the list.