Exam 7: Sampling and Sampling Distributions
Exam 1: Introduction145 Questions
Exam 2: Organizing and Visualizing Data210 Questions
Exam 3: Numerical Descriptive Measures153 Questions
Exam 4: Basic Probability171 Questions
Exam 5: Discrete Probability Distributions218 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions191 Questions
Exam 7: Sampling and Sampling Distributions197 Questions
Exam 8: Confidence Interval Estimation196 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests165 Questions
Exam 10: Two-Sample Tests210 Questions
Exam 11: Analysis of Variance213 Questions
Exam 12: Chi-Square Tests and Nonparametric Tests201 Questions
Exam 13: Simple Linear Regression213 Questions
Exam 14: Introduction to Multiple Regression355 Questions
Exam 15: Multiple Regression Model Building96 Questions
Exam 16: Time-Series Forecasting168 Questions
Exam 17: Statistical Applications in Quality Management133 Questions
Exam 18: A Roadmap for Analyzing Data54 Questions
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TABLE 7-3
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 7-3, what is the probability that the sample mean selling price was more than $110,000?
(Short Answer)
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A population frame for a survey contains a listing of 72,345 names. Using a table of random numbers, how many digits will the code numbers for each member of your population contain?
(Multiple Choice)
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For sample sizes greater than 30, the sampling distribution of the mean will be approximately normally distributed
(Multiple Choice)
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TABLE 7-4
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 7-4, what is the probability that the sample mean lifetime is more than 1,550 hours?
(Short Answer)
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TABLE 7-7
Online customer service is a key element to successful online retailing. According to a marketing survey, 37.5% of online customers take advantage of the online customer service. Random samples of 200 customers are selected.
-Referring to Table 7-7, 95% of the samples proportions symmetrically around the population proportion will have between ________ % and ________ % of the customers who take advantage of online customer service.
(Short Answer)
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TABLE 7-5
According to a survey, only 15% of customers who visited the website of a major retail store made a purchase. Random samples of size 50 are selected.
-Referring to Table 7-5, what is the probability that a random sample of 50 will have at least 30% of customers who will make a purchase after visiting the website?
(Short Answer)
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TABLE 7-5
According to a survey, only 15% of customers who visited the website of a major retail store made a purchase. Random samples of size 50 are selected.
-Referring to Table 7-5, 90% of the samples will have more than what percentage of customers who will make a purchase after visiting the website?
(Short Answer)
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TABLE 7-4
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 7-4, the probability is 0.15 that the sample mean lifetime is more than how many hours?
(Essay)
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At a computer manufacturing company, the actual size of computer chips is normally distributed with a mean of 1 centimeter and a standard deviation of 0.1 centimeter. A random sample of 12 computer chips is taken. What is the probability that the sample mean will be between 0.99 and 1.01 centimeters?
(Essay)
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For sample size 1, the sampling distribution of the mean will be normally distributed
(Multiple Choice)
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Sampling error can be completely eliminated by taking larger sample sizes.
(True/False)
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When participants are allowed to self-select into the sample, you have a nonprobability sample.
(True/False)
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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 will be between 39 and 48 minutes?
(Short Answer)
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TABLE 7-1
The manager of the customer service division of a major consumer electronics company is interested in determining whether the customers who have purchased a DVD player made by the company over the past 12 months are satisfied with their products.
-Referring to Table 7-1, which of the following questions in the survey will not likely induce a measurement error?
(Multiple Choice)
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Suppose a sample of n = 50 items is selected from a population of manufactured products and the weight, X, of each item is recorded. Prior experience has shown that the weight has a probability distribution with μ = 6 ounces and σ = 2.5 ounces. Which of the following is true about the sampling distribution of the sample mean if a sample of size 15 is selected?
(Multiple Choice)
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Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in a recent year. Suppose a sample of 100 major league players was taken. Find the approximate probability that the mean salary of the 100 players exceeded $4.0 million.
(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. So, the middle 95% of the sample means based on samples of size 64 will be between ________ and ________.
(Short Answer)
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Which of the following statements about the sampling distribution of the sample mean is incorrect?
(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 less than 82 minutes is ________.
(Short Answer)
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