Exam 7: Sampling and Sampling Distributions

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A probability distribution of all possible values of a sample statistic is known as

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Convenience sampling is an example of _____ sampling.

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The probability distribution of all possible values of the sample mean The probability distribution of all possible values of the sample mean   is is

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A sample of 66 observations will be taken from an infinite population. The population proportion equals 0.12. The probability that the sample proportion will be less than 0.1969 is

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Which of the following sampling methods does not lead to probability samples?

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The extent of the sampling error might be affected by all of the following factors except the

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A probability sampling method in which we randomly select one of the first k elements and then select every kth element thereafter is _____ sampling.

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Four hundred people were asked whether gun laws should be more stringent. Three hundred said "yes," and 100 said "no". The point estimate of the proportion in the population who will respond "no" is

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The sampling error is the

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Random samples of size 64 are taken from an infinite population whose mean and standard deviation are 240 and 16, respectively. The distribution of the population is unknown. The mean and the standard error of the mean are

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Random samples of size 49 are taken from a population that has 200 elements, a mean of 180, and a variance of 196. The distribution of the population is unknown. The standard error of the mean is

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In computing the standard error of the mean, the finite population correction factor is used when

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The following data was collected from a simple random sample of a population. The following data was collected from a simple random sample of a population.   The point estimate of the population mean The point estimate of the population mean

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The following data was collected from a simple random sample of a population. The following data was collected from a simple random sample of a population.   If the population consisted of 10 elements, how many different random samples of size 6 could be drawn from the population? If the population consisted of 10 elements, how many different random samples of size 6 could be drawn from the population?

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From a population of 500 elements, a sample of 225 elements is selected. It is known that the variance of the population is 900. The standard error of the mean is approximately

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The standard deviation of a sample of 100 elements taken from a very large population is determined to be 60. The variance of the population

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There are 7 children in a family. The number of children defines a population. The number of simple random samples of size 2 (without replacement) which are possible equals

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In stratified random sampling,​

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Which of the following is an example of nonprobabilistic sampling?

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Random samples of size 64 are taken from an infinite population whose mean and standard deviation are 24 and 6.4, respectively. The distribution of the population is unknown. The mean and the standard error of the mean are

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