Exam 7: Sampling Distributions
Exam 1: Defining and Collecting Data189 Questions
Exam 3: Numerical Descriptive Measures184 Questions
Exam 4: Basic Probability156 Questions
Exam 5: Discrete Probability Distributions218 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions189 Questions
Exam 7: Sampling Distributions127 Questions
Exam 8: Confidence Interval Estimation196 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests170 Questions
Exam 10: Two-Sample Tests210 Questions
Exam 11: Analysis of Variance130 Questions
Exam 12: Chi-Square Tests and Nonparametric Tests175 Questions
Exam 13: Simple Linear Regression213 Questions
Exam 14: Introduction to Multiple Regression337 Questions
Exam 15: Multiple Regression Model Building96 Questions
Exam 16: Time-Series Forecasting165 Questions
Exam 17: A Roadmap for Analyzing Data303 Questions
Exam 18: Statistical Applications in Quality Management130 Questions
Exam 19: Decision Making126 Questions
Exam 20: Index Numbers44 Questions
Exam 21: Chi-Square Tests for the Variance or Standard Deviation11 Questions
Exam 22: Mcnemar Test for the Difference Between Two Proportions Related Samples15 Questions
Exam 25: The Analysis of Means Anom2 Questions
Exam 23: The Analysis of Proportions Anop3 Questions
Exam 24: The Randomized Block Design85 Questions
Exam 26: The Power of a Test41 Questions
Exam 27: Estimation and Sample Size Determination for Finite Populations13 Questions
Exam 28: Application of Confidence Interval Estimation in Auditing13 Questions
Exam 29: Sampling From Finite Populations20 Questions
Exam 30: The Normal Approximation to the Binomial Distribution27 Questions
Exam 31: Counting Rules14 Questions
Exam 32: Lets Get Started Big Things to Learn First33 Questions
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TABLE 7-2
The mean selling price of new homes in a small town over a year was $115,000.The population standard deviation was $25,000.A random sample of 100 new home sales from this city was taken.
-Referring to Table 7-2,without doing the calculations,state in which of the following ranges the sample mean selling price is most likely to lie.
(Multiple Choice)
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For a sample size of 16,the sampling distribution of the mean will be approximately normally distributed
(Multiple Choice)
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A manufacturer of power tools claims that the mean amount of time required to assemble their top-of-the-line table saw is 80 minutes with a standard deviation of 40 minutes.Suppose a random sample of 64 purchasers of this table saw is taken.The probability that the sample mean will be greater than 88 minutes is ________.
(Short Answer)
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TABLE 7-3
The lifetimes of a certain brand of light bulbs are known to be normally distributed with a mean of 1,600 hours and a standard deviation of 400 hours.A random sample of 64 of these light bulbs is taken.
-Referring to Table 7-3,what is the probability that the sample mean lifetime is more than 1,550 hours?
(Short Answer)
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True or False: The Central Limit Theorem ensures that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.
(True/False)
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The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.The probability that the mean of the sample exceeds 36.01 oz.is ________.
(Short Answer)
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The amount of time required for an oil and filter change on an automobile is normally distributed with a mean of 45 minutes and a standard deviation of 10 minutes.A random sample of 16 cars is selected.95% of all sample means will fall between what two values?
(Short Answer)
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The amount of time required for an oil and filter change on an automobile is normally distributed with a mean of 45 minutes and a standard deviation of 10 minutes.A random sample of 16 cars is selected.What is the probability that the sample mean is between 45 and 52 minutes?
(Short Answer)
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A manufacturer of power tools claims that the mean amount of time required to assemble their top-of-the-line table saw is 80 minutes with a standard deviation of 40 minutes.Suppose a random sample of 64 purchasers of this table saw is taken.The probability that the sample mean will be between 77 and 89 minutes is ________.
(Short Answer)
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Which of the following is true about the sampling distribution of the sample mean?
(Multiple Choice)
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TABLE 7-4
According to a survey,only 15% of customers who visited the website of a major retail store made a purchase.Random sample sizes of 50 are selected.
-Referring to Table 7-4,what proportion of the samples will have less than 15% of customers who will make a purchase after visiting the website?
(Short Answer)
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For a sample size of 1,the sampling distribution of the mean will be normally distributed
(Multiple Choice)
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True or False: Suppose μ = 50 and σ = 10 for a population.In a sample where n = 100 is randomly taken,95% of all possible sample means will fall between 48.04 and 51.96.
(True/False)
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True or False: If the population distribution is symmetric,the sampling distribution of the mean can be approximated by the normal distribution if the samples contain 15 observations.
(True/False)
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True or False: In inferential statistics,the standard error of the sample mean assesses the uncertainty or error of estimation.
(True/False)
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TABLE 7-4
According to a survey,only 15% of customers who visited the website of a major retail store made a purchase.Random sample sizes of 50 are selected.
-A study at a college in the west coast reveals that,historically,45% of the students are minority students.If random sample sizes of 75 are selected,80% of the samples will have less than ________% of minority students.
(Short Answer)
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A manufacturer of power tools claims that the mean amount of time required to assemble their top-of-the-line table saw is 80 minutes with a standard deviation of 40 minutes.Suppose a random sample of 64 purchasers of this table saw is taken.The probability that the sample mean will be less than 82 minutes is ________.
(Short Answer)
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The amount of bleach a machine pours into bottles has a mean of 36 oz.with a standard deviation of 0.15 oz.Suppose we take a random sample of 36 bottles filled by this machine.So,the middle 95% of the sample means based on sample sizes of 36 will be between ________ and ________.
(Short Answer)
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The amount of time required for an oil and filter change on an automobile is normally distributed with a mean of 45 minutes and a standard deviation of 10 minutes.A random sample of 16 cars is selected.90% of the sample means will be greater than what value?
(Short Answer)
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TABLE 7-3
The lifetimes of a certain brand of light bulbs are known to be normally distributed with a mean of 1,600 hours and a standard deviation of 400 hours.A random sample of 64 of these light bulbs is taken.
-Referring to Table 7-3,the probability is 0.20 that the sample mean lifetime differs from the population mean lifetime by at least how many hours?
(Essay)
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