Exam 10: Determining the Size of a Sample

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The arbitrary approach to sample size determination takes the desired level of accuracy into account.

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It is almost always up to the researcher to educate the manager on what might be acceptable or "standard" sample error.

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If we are using the formula for calculating the sample size for estimating a mean,the formula will contain:

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The confidence interval approach to determining sample size applies the concepts of accuracy,variability,and confidence interval to create a "correct" sample size.

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There is a separate sample size formula for estimating a percentage of the population than for estimating a mean of the population.

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Sources of error that come from sources other than the sample selection method and sample size are referred to as:

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A graph of the relationship between accuracy and size of the sample shows that accuracy increases dramatically up until sample sizes near 500.Thereafter,it takes much larger increases in sample size to gain increases in accuracy.

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When determining sample size,the conventional approach would NOT be:

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Which of the following is true regarding probability samples?

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Which of the following samples have been determined by using the statistical analysis approach?

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It is inappropriate to apply sample size formulae when an unknown bias is introduced by a subjective sampling method (i.e. ,nonprobability).

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In a study of the U.S.workforce population,a research company interviews 5,000 persons on a street corner in New York.If they decide to increase the sample size to 10,000,they would:

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