Which of the following statements is true?

Question

Quizplus · Accepted Answer

Sampling error is the difference between the results of a sample survey and the actual results of the population. This error can never be completely eliminated, but it can be reduced by increasing the size of the sample. As the size of the sample increases, sampling error decreases. Therefore, option E is the correct answer.

Option A is not correct because it is impossible to eliminate sampling error completely from a mass survey. Option B is incorrect as well because a certain degree of sampling error is expected in survey results and should not entirely invalidate the credibility of the results. Option C and D are also incorrect because having a majority of people with a college degree or strong political opinions in the sample may lead to biases and not necessarily ensure a lower sampling error.

Which of the Following Statements Is True