Question

Select the scenario below that demonstrates sampling bias. Select the correct answer below:

a) Justin wants to estimate the ethnic background distribution of residents of his town. He collects data from 1000 randomly selected town residents by using a random number generator.
b) To estimate the mean salary of professors at her university, Patricia collects data by recording the salaries of all professors included in 12 randomly selected departments.
c) Elizabeth wants to estimate the mean height of students at her school. She collects data by selecting a random group of students within her classroom.
d) To estimate the mean grade point average of students at her school, Annie collects data by recording the grade point average of every 25th student on the list of students after randomly selecting first student.

Answer 1

(C) Elizabeth wants to estimate the mean height of students at her school. She collects data by selecting a random group of students within her classroom.

Explanation:

In option C, the sample is an example of convenience sampling, It is not representative of the population of student being studied.

Convenience sampling is a type of non-probability sampling method in which the sample is taken from the part of the population easy to reach.

The sample are not chosen at random thereby undermining the ability to generalize the results from the sample to the entire population under study.