Question

Samantha is conducting a survey to evaluate the eating habits of customers at fast food restaurants. She select the first 50 customers during the day as her participants. Samantha is using a(n) _________________ sample.

A. cluster
B. probability
C. biased
D. simple

Answer 1

Samantha's method of selecting the first 50 customers of the day is an example of a biased, or convenience, sample because it does not give every individual in the population an equal chance to be selected.

Step-by-step explanation:

Samantha is using a biased sample in her survey of fast-food restaurant customers. This is because she is selecting the first 50 customers during the day, which does not give every potential participant an equal chance of being selected. Instead, this method of sampling is likely to be influenced by the time of day and the specific type of customer who visits the restaurant during that time.

This sampling method is known as convenience sampling, which is a nonrandom method that often results in biased data. In contrast, the random sampling methods, which include simple random sampling, stratified sampling, cluster sampling, and systematic sampling, aim to create a sample that fairly represents the entire population without bias.