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QUESTION IMAGE

decide whether the following statement makes sense (or is clearly true)…

Question

decide whether the following statement makes sense (or is clearly true) or does not make sense (or is clearly false). explain your reasoning. the tv survey got more than 1 million phone - in responses, so it is clearly more valid than the survey by the professional pollsters, based on interviews with only a few hundred people. choose the correct answer below. a. the statement does not make sense. the eight guidelines for evaluating a statistical study need to be reviewed before one study can be called more valid than another. b. the statement makes sense. when conducting a survey, more responses will make it more valid than another survey with fewer responses. c. the statement does not make sense. when collecting data for a survey, phone - in responses are more valid than interviews. d. the statement makes sense. when a survey has over 1 million responses, the large sample size gets rid of any bias.

Explanation:

Brief Explanations

A large sample size does not automatically mean a survey is free of bias. Phone - in responses are often self - selected and can introduce bias. Also, the validity of a survey depends on many factors like sampling method, question design etc., not just the number of responses. Just because a survey has more responses does not necessarily make it more valid than one with fewer responses. And all statistical studies should be reviewed regardless of the number of responses.

Answer:

A. The statement does not make sense. The eight guidelines for evaluating a statistical study need to be reviewed before one study can be called more valid than another.
B. The statement makes sense. When conducting a survey, more responses will make it more valid than another survey with fewer responses. - False.
C. The statement does not make sense. When collecting data for a survey, phone - in responses are more valid than interviews. - False.
D. The statement makes sense. When a survey has over 1 million responses, the large sample size gets rid of any bias. - False.