Identify the Best Way to Sample a Population

The video tutorial discusses how to select a representative sample of a company's employees to choose a new logo. It evaluates four scenarios: selecting every third employee from the largest department, every employee entering the cafeteria, every third employee on the payroll, and employees under 35. The tutorial explains why the first three options are biased and concludes that the most unbiased and random choice is every third employee on the payroll.

What is the main goal when selecting a representative sample from a population?

• To pick individuals who are easiest to reach

• To select a sample that represents the entire population without bias

• To ensure the sample is as biased as possible

• To choose individuals from the largest group

Why is selecting every third employee from the largest department not a good sampling method?

• It introduces bias by focusing on one department

• It includes employees from all departments

• It is too time-consuming

• It is too random

What is a potential issue with surveying employees who enter the cafeteria?

• It is too random

• It is too expensive

• It only includes employees who visit the cafeteria, introducing bias

• It includes too many employees

Why is surveying every third employee on the payroll considered a good sampling method?

• It is quick and easy

• It includes only the most experienced employees

• It is a random sampling method with no bias

• It focuses on the youngest employees

What is the problem with only surveying employees under the age of 35?

• It is too random

• It introduces bias by excluding older employees

• It includes too many employees

• It is too expensive