Why sorts of errors can affect inferences in surveys


Discuss the below in detail:

Q: There are all sorts of errors that can affect inferences in surveys, let's talk about some of them. Suppose that in a survey of frequent flyers age 50 and older: - 25% of the respondents checked off price as the "most important" consideration in determining where and how they travel; - 35% of the respondents rated price as unimportant. As a results, researchers concluded that price does not play a significant role in airline travel. Does this sound right to you? What types of errors could we have here?

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