Cheap and fast gas station is conducting a consumer satisfaction survey. which method of collecting data would most likely lead to a biased sample?

interviewing every 5th customer to come into the station
interviewing customers chosen at random by a computer at the checkout
interviewing customers who call an 800 number posted on the costumers receipts.
interviewing every costumer who comes into the station on a day of the week chosen at random out of a hat

Interviewing customers who call an 800 number posted on the costumers receipts.

Step-by-step explanation:

A biased sample is a sample that was collected in a bias manner that does not accurately collect a sample of the population. This can result for instance if you were to only interview people on Sunday about the gas station. Some of the population may never be represented because they do not drive or purchase gas on Sunday due to religious or other reasons. The sample is termed bias because the way it was collected did not allow all of the population to be represented in the sample. This does not means that all of the population will be when collected when collected in an unbiased way.

Selecting people at random or in a pattern (like every 5th) is an acceptable way to gather a sample. Notice a, b and d all contain random elements. These are not biased. This leaves option c as the biased sample. Option c is biased since those who are likely to call a 800 number are those who want to complain or feel need to heard. This is a response bias and will be inaccurate towards overall customer satisfaction.

a) interviewing every 5th customer to come into the station

b) interviewing customers chosen at random by a computer at the checkout

c) interviewing customers who call an 800 number posted on the costumers receipts.

d) interviewing every costumer who comes into the station on a day of the week chosen at random out of a hat

15: 24

62.5%

step-by-step explanation: