Exam 7: Sampling and Sampling Distributions
Exam 1: Data and Statistics72 Questions
Exam 2: Descriptive Statistics: Tabulargraphical76 Questions
Exam 3: Descriptive Statistics: Numerical154 Questions
Exam 4: Introduction to Probability93 Questions
Exam 5: Discrete Probability Distributions81 Questions
Exam 6: Continuous Probability Distributions114 Questions
Exam 7: Sampling and Sampling Distributions103 Questions
Exam 8: Interval Estimation78 Questions
Exam 9: Hypothesis Tests94 Questions
Exam 10: Inference About Means and Proportions With Two Populations61 Questions
Exam 11: Inferences About Population Variances60 Questions
Exam 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit45 Questions
Exam 13: Experimental Design and Analysis of Variance67 Questions
Exam 14: Simple Linear Regression119 Questions
Exam 15: Multiple Regression113 Questions
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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 expected value of equals the mean of the population from which the sample is drawn
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The purpose of statistical inference is to provide information about the
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B
Which of the following best describes the form of the sampling distribution of the sample proportion?
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Which of the following is an example of nonprobabilistic sampling?
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A simple random sample of 5 observations from a population containing 400 elements was taken, and the following values were obtained. 12
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A point estimate of the mean is
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The value of the ___________ is used to estimate the value of the population parameter
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A population has a mean of 84 and a standard deviation of 12.A sample of 36 observations will be taken.The probability that the sample mean will be between 80.54 and 88.9 is
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For a population with any distribution, the form of the sampling distribution of the sample mean is
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A random sample of 121 bottles of cologne showed an average content of 4 ounces.It is known that the standard deviation of the contents (i.e., of the population) is 0.22 ounces.The standard error of the mean equals
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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 mean and the standard error of the mean are
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A population consists of 8 items.The number of different simple random samples of size 3 that can be selected from this population is
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Random samples of size 17 are taken from a population that has 200 elements, a mean of 36, and a standard deviation of 8.Which of the following best describes the form of the sampling distribution of the sample mean for this situation?
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Which of the following statements about cluster sampling is false?
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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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The following data was collected from a simple random sample of a population. 13 15 14 16 12 The point estimate of the population mean
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A sample of 51 observations will be taken from an infinite population.The population proportion equals 0.85.The probability that the sample proportion will be between 0.9115 and 0.946 is
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The number of different simple random samples of size 5 that can be selected from a population of size 8 is
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