Suppose that a national survey was done to determine whether people favored or opposed stricter gun laws. The survey results indicated that 70 favored stricter gun laws, 23 opposed, and 7 were undecided. The accuracy level (or margin of error) for the survey was 3 and the confidence level was .05. Lets take the 70 figure for those who favored stricter gun laws: Which of the following is the best interpretation of this result?
A. There are 95 chances out of 100 that in the population from which the sample was selected the percentage who favor stricter gun laws is somewhere between 67 and 73.
B. There are 3 chances out of 100 that in the population from which the sample was selected the percentage who favor stricter gun laws is somewhere between 65 and 75.
C. There are 5 chances out of 100 that more than 3 of the respondents gave wrong answers to the question.
D. There are 5 chances out of 100 that this survey result is within 3 of the results that would be attained if the survey were done again immediately.
Suppose you wanted to take a sample of adults in your state for a face-to-face survey. Of the choices given below, which sampling technique would be the best to use?
A. quota sampling
B. random sampling
C. multi-stage cluster sampling
D. haphazard sampling
The
biggest problem in quota sampling is that:
A. the number of people selected for such samples is not large enough.
B. interviewers have too much discretion in deciding whom they will interview.
C. there is no reasonable way to determine what kinds of people should be included in the sample.
D. the response rates for such samples are too low.
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