Exam 10: Sampling and Sampling Distributions
Exam 1: Introduction37 Questions
Exam 2: Summarizing Data: Listing and Grouping63 Questions
Exam 3: Summarizing Data: Measures of Location57 Questions
Exam 4: Summarizing Data: Measures of Variation56 Questions
Exam 5: Possibilities and Probabilities63 Questions
Exam 6: Some Rules of Probability75 Questions
Exam 7: Expectations and Decisions49 Questions
Exam 8: Probability Distributions78 Questions
Exam 9: The Normal Distribution89 Questions
Exam 10: Sampling and Sampling Distributions61 Questions
Exam 11: Problems of Estimation13 Questions
Exam 12: Tests of Hypotheses: Means55 Questions
Exam 13: Tests of Hypotheses: Standard Deviations39 Questions
Exam 14: Tests of Hypotheses Based on Count Data43 Questions
Exam 15: Analysis of Variance49 Questions
Exam 16: Regression39 Questions
Exam 17: Correlation28 Questions
Exam 18: Nonparametric Tests41 Questions
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How many different samples of size 3 can be selected from a population of 12 ?
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(Short Answer)
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Correct Answer:
220
If the mean of a random sample of size 400 is used to estimate the mean of an infinite population with a standard deviation of 60 , the probability is 0.95 that the error is less than
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Correct Answer:
D
Random samples of size 2 are selected from the finite population which consists of the numbers 4, 7, 10, 13, 16, and 19.
-Calculate the mean and variance of the probability distribution of the mean for the 15 possible random samples of size 2 from the given finite population. Verify the results by comparing them with the results obtained by using the appropriate formulas.
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An investor considers investing in the stocks of the following companies: IBM, Honeywell, Mobil, Eastman Kodak, and Homestake Mining.
-Find the probability of selecting any particular sample of two stocks.
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An investor considers investing in the stocks of the following companies: IBM, Honeywell, Mobil, Eastman Kodak, and Homestake Mining.
-Find the probability of any particular one of the companies being included in a sample of two stocks.
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The distribution of the totality of all sample means is called _______.
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The standard error of the mean of a sample of 100 items from a population will be equal to _______ times the standard error of the mean of 25 items.
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Suppose that in a group of six athletes there are three jockeys whose heights are 60,65 , and 55 inches, and three basketball players whose heights are 80,75 , and 85 inches.
-List all possible stratified random samples of size 2 which may be taken by selecting one jockey and one basketball player. Calculate the means of these samples, and calculate .
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The allocation in stratified sampling will be proportional if _______ for .
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Suppose we want to estimate the mean salary of seven people based on a sample of size 3 . The salaries of the seven people in thousands of dollars are , and 63 , so that the population means we want to estimate is . If the first three of these salaries are those of bank trainees and the other four are salaries of officers in the bank, find and if the allocation is
-optimum.
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Random samples of size 2 are selected from the finite population which consists of the numbers 4, 7, 10, 13, 16, and 19.
-Find the mean and standard deviation of this population.
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The value we use for the standard error of the mean when is at least of the population size is
(Multiple Choice)
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A new cure for the common cold has the side effect of producing dizziness in the user for an average of 40 minutes with a standard deviation of 12 minutes.
-In a random sample of 64 people who take the drug, find the probability that the average time that a user remains dizzy is at least 38 minutes.
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A new cure for the common cold has the side effect of producing dizziness in the user for an average of 40 minutes with a standard deviation of 12 minutes.
-In a random sample of 64 people who take the drug, give the standard error of the mean for the random variable.
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We use the for the standard error of the mean if the sample size is _______.
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The method of allocation such that for a fixed size, the sample chosen will have the smallest possible standard error for the estimate of the population mean is called optimum allocation.
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If the digits , and 8 represent heads and the digits 1, 3, 5, 7, and 9 represent tails, then the random numbers 527, 648, 910, and 485 represent what sequence of numbers of heads in four flips of three coins?
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How many different samples of size 2 can be selected from a population of size 15 ?
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The mean number of errors in a random sample of 100 accounts to be audited is used to estimate the mean of the population of accounts having a standard deviation of . What is the probability that the error will be less than 0.8
-using Chebyshev's theorem?
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