Exam 7: The Logic of Sampling

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Two standard deviations from a parameter covers 95% of a sample.

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Probability samples are advantageous to the researcher because

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Andre surveyed the first ten students walking out of the library on three consecutive evenings,starting at 7PM.Which sampling design does this example reflect?

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I would like to survey 50 people on their attitudes regarding premarital sex.I choose to stand on the corner of High St.and Hague Ave.,and give my short survey to the first 50 people who pass by the corner.I have engaged in _____________.

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Periodicity is a danger involved in the use of stratified sampling.

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If a field researcher wanted to learn a political organization's pattern of recruitment over time,the researcher might begin by interviewing a fairly recent recruit and ask who introduced that person to the organization.Then the researcher might interview the person named and ask who introduced that person to the political organization.This would be an example of

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When selecting a sample for a telephone survey,which method is usually used to select respondents with?

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Disproportionate sampling and weighting are used by the researcher

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According to probability theory:

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The size of the population must be taken into account when deciding on sample size.

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When might a researcher prefer to use a weighted sampling method??

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Today,probability sampling remains the primary method of selecting large,representative samples for social research,including national political polls.

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The political poll that demonstrated the importance of sampling was between Thomas Dewey and Theodore Roosevelt

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A study population is

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Which of the following is not a cited issue resulting in reduced response rates for telephone surveys?

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Due to Federal Communications Commission requirements regarding cell phones,what does the AAPOR recommend researchers do in order to contact participants who have not given explicit prior consent?

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Every kth element in a list is chosen for inclusion in the sample in

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The standard error tells us how closely the population parameter is clustered around a single sample statistic.

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Findings based on a sample can be taken as representing only the aggregation of elements that compose the sampling frame.

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The estimated probability that a population parameter lies within a given confidence interval is known as the confidence interval.

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