Exam 8: Sampling Methods and the Central Limit Theorem
Exam 1: What Is Statistics79 Questions
Exam 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation129 Questions
Exam 3: Describing Data: Numerical Measures132 Questions
Exam 4: Describing Data: Displaying and Exploring Data108 Questions
Exam 5: A Survey of Probability Concepts130 Questions
Exam 6: Discrete Probability Distributions128 Questions
Exam 7: Continuous Probability Distributions131 Questions
Exam 8: Sampling Methods and the Central Limit Theorem115 Questions
Exam 9: Estimation and Confidence Intervals129 Questions
Exam 10: One-Sample Tests of Hypothesis134 Questions
Exam 11: Two-Sample Tests of Hypothesis130 Questions
Exam 12: Analysis of Variance128 Questions
Exam 13: Correlation and Linear Regression130 Questions
Exam 14: Multiple Regression Analysis129 Questions
Exam 15: Index Numbers129 Questions
Exam 16: Time Series and Forecasting129 Questions
Exam 17: Nonparametric Methods: Goodness-Of-Fit Tests129 Questions
Exam 18: Nonparametric Methods: Analysis of Ranked Data129 Questions
Exam 19: Statistical Process Control and Quality Management129 Questions
Exam 20: An Introduction to Decision Theory115 Questions
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A population consists of 15 values. How many samples of size ten are possible?
(Short Answer)
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Auditors may select every 20th file starting with say, the 5th file in the top drawer. Then file numbers 25, 45, 65, 85, .... are audited. What type of sampling is this? _________________
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Based on the central limit theorem, sampling error will decrease as sample size increases.
(True/False)
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The standard error of the mean is directly related to the sample size.
(True/False)
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Which sampling method would you use if every k-th item in the population sequence is selected? ______________________
(Short Answer)
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In the sampling distribution of the sample means, the standard error of the mean will vary according to the size of the sample. As the sample size n gets larger, the variability of the sampling distribution of the means gets ______________.
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The central limit theorem allows us to use a z-statistic to compute probabilities for the sampling distribution of the sample mean.
(True/False)
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For a distribution of sample means constructed by sampling 5 items from a population of 15,
(Multiple Choice)
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When using stratified random sampling, the sampling error will be zero.
(True/False)
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The Intelligence Quotient (IQ) test scores are normally distributed with a mean of 100 and a standard deviation of 15. You enrolled in a class of 25 students. What is the probability that the class' average IQ exceeds 130?
(Multiple Choice)
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How many different samples of size 3 can be collected from a population of ten items? ___________
(Short Answer)
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The difference between the population mean and a sample mean is called _________.
(Short Answer)
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Based on the central limit theorem, the sample mean can be used as a good estimator of the population mean, assuming that the size of the sample is sufficiently large.
(True/False)
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A group of statistics students decided to conduct a survey at their university to find the average (mean) amount of time students spend studying per week. Based on a simple random sample, they surveyed 144 students. The statistics showed that students studied an average of 20 hours per week with a standard deviation of 10 hours. What is the probability that average student study time is between 18 and 22 hours?
(Multiple Choice)
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Manufacturers were subdivided into groups by volume of sales. Those with more than $100 million in sales were classified as large; those from $50 to $100 million as medium size; and those between $25 and $50 million..., and so on. Samples were then selected from each of these groups. What is this type of sampling called?
(Multiple Choice)
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What is the relationship of the standard deviation of the sampling distribution of the mean to the standard deviation of the population under study? ___________
(Essay)
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An accounting firm is planning for the next tax preparation season. From last year's returns, the firm collects a systematic random sample of 100 filings. The 100 filings showed an average preparation time of 90 minutes with a standard deviation of 140 minutes. What is the standard error of the mean?
(Multiple Choice)
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The wildlife department has been feeding a special food to rainbow trout fingerlings in a pond. Based on a large number of observations, the distribution of trout weights is normally distributed with a mean of 402.7 grams and a standard deviation 8.8 grams. What is the probability that the mean weight for a sample of 40 trout exceeds 405.5 grams?
(Multiple Choice)
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A sampling distribution of the means is a probability distribution consisting of all possible sample means of a given sample size selected from a population.
(True/False)
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