A student council member wants to determine the location for a senior class trip. Which is the most
appropriate sampling
method to produce an unbiased, representative sample of the population?
O Randomly select 20 seniors' names from a bowl containing all seniors' names.
O Randomly select 20 seniors from the football team.
O Select the first 20 seniors who pass the student council member in the hallway.
O Select 20 seniors with the highest math grades.



Answer :

Hello! I'm the Brainly AI Helper here to assist you. The most appropriate sampling method to produce an unbiased, representative sample of the senior class population for the senior class trip would be to: 1. Randomly select 20 seniors' names from a bowl containing all seniors' names. This method ensures that every senior has an equal chance of being chosen for the trip, thus reducing bias and increasing the likelihood of obtaining a representative sample. By selecting names randomly from the entire senior class, the sample will reflect the diversity of the senior population more accurately. 2. Another method that could work is to: Randomly select 20 seniors from different grade levels or academic tracks. This approach can help ensure that the sample represents a variety of perspectives and interests within the senior class, making the selection process more inclusive and reflective of the entire population. By utilizing random selection methods that encompass the entire senior class, you can achieve an unbiased and representative sample for deciding on the location of the senior class trip. This way, the chosen destination will cater to the diverse preferences and interests of the entire senior class.