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
Exam 19: Questions that Involve Online Topics321 Questions
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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 samples of size 36 will be between ________ and ________.
(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 standard deviation of the sampling distribution of the sample mean is ________ minutes.
(Short Answer)
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The owner of a fish market has an assistant who has determined that the weights of catfish are normally distributed, with mean of 3.2 pounds and standard deviation of 0.8 pound. If a sample of 64 fish yields a mean of 3.4 pounds, what is probability of obtaining a sample mean this large or larger?
(Multiple Choice)
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Selection bias occurs more frequently in systematic samples than in simple random samples.
(True/False)
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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, 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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An electronic appliance chain gathered customer opinions on their services using the customer feedback forms that are attached to the product registration forms. This is an example of a convenience sample.
(True/False)
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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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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. Above what value do 2.5% of the sample means fall?
(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, the manager decides to ask a sample of customers, who have bought a DVD player made by the company and filed a complaint over the past year, to fill in a survey about whether they are satisfied with the product. This method will most likely suffer from
(Multiple Choice)
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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, the requirements for using a normal distribution to approximate a binomial distribution is fulfilled.
(True/False)
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The sampling process begins by locating appropriate data sources called ________.
(Short Answer)
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Sampling error can be completely eliminated by taking larger sample sizes.
(True/False)
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In a business statistics class students sit randomly without particular preferences. A sample is selected by including everybody who sits in the first row. This is an example of a cluster sample.
(True/False)
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TABLE 7-6
According to an article, 19% of the entire population in a developing country have high-speed access to the Internet. Random samples of size 200 are selected from the country's population.
-Referring to Table 7-6, among all the random samples of size 200, 90 % will have less than ________ % who have high-speed access to the Internet.
(Essay)
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For distributions such as the normal distribution, the arithmetic mean is considered more stable from sample to sample than other measures of central tendency.
(True/False)
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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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As a population becomes large, it is usually better to obtain statistical information from the entire population.
(True/False)
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TABLE 7-6
According to an article, 19% of the entire population in a developing country have high-speed access to the Internet. Random samples of size 200 are selected from the country's population.
-Referring to Table 7-6, the population mean of all the sample proportions is ________.
(Short Answer)
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As the sample size increases, the effect of an extreme value on the sample mean becomes smaller.
(True/False)
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