Exam 7: Sampling Distributions
Exam 1: Defining and Collecting Data202 Questions
Exam 2: Organizing and Visualizing256 Questions
Exam 3: Numerical Descriptive Measures217 Questions
Exam 4: Basic Probability167 Questions
Exam 5: Discrete Probability Distributions165 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions170 Questions
Exam 7: Sampling Distributions165 Questions
Exam 8: Confidence Interval Estimation219 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests194 Questions
Exam 10: Two-Sample Tests240 Questions
Exam 11: Analysis of Variance170 Questions
Exam 12: Chi-Square and Nonparametric188 Questions
Exam 13: Simple Linear Regression243 Questions
Exam 14: Introduction to Multiple394 Questions
Exam 15: Multiple Regression146 Questions
Exam 16: Time-Series Forecasting235 Questions
Exam 17: Getting Ready to Analyze Data386 Questions
Exam 18: Statistical Applications in Quality Management159 Questions
Exam 19: Decision Making126 Questions
Exam 20: Probability and Combinatorics421 Questions
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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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SCENARIO 7-6
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 Scenario 7-6, 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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As the sample size increases, the effect of an extreme value on the sample mean
becomes smaller.
(True/False)
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SCENARIO 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 Scenario 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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Why is the Central Limit Theorem so important to the study of sampling distributions?
(Multiple Choice)
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SCENARIO 7-7
A recent survey revealed that American's Christmas spending averaged $830. Use this as the
population mean American's Christmas spending. Suppose American's Christmas spending is
normally distributed with a standard deviation of $220. Random sample of size 100 are selected from
the population of American consumers.
-Referring to Scenario 7-7, the probability is 0.20 that the sample mean spending is at least how
much?
(Short Answer)
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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 Central Limit Theorem is considered powerful in statistics because it works
for any population distribution provided the sample size is sufficiently large and the population
mean and standard deviation are known.
(True/False)
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As the size of the sample is increased, the standard deviation of the sampling
distribution of the sample mean for a normally distributed population will stay the same.
(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 standard error of the mean?
(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. The sampling distribution of the sample mean will be approximately normal only if the
population sampled is normal.
(True/False)
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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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Major league baseball salaries averaged $3.26 million with a standard deviation of $1.2 million in a certain year in the past. Suppose a sample of 100 major league players was taken. What was the
Standard error for the sample mean salary?
(Multiple Choice)
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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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Suppose μ = 50 and σ = 10 for a population. In a sample where n = 100 is
randomly taken, 90% of all possible sample means will fall between 49 and 51.
(True/False)
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μ The am = 110 gramount of tea leaves in a can froms and σ = 25 grams. A sam a particular production line is normple of 25 cans is to be selected. What is the probabilityally distributed with
that the sample mean will be between 100 and 120 grams?
(Essay)
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SCENARIO 7-5
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 Scenario 7-5, the standard error of all the sample proportions is ______.
(Short Answer)
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μThe am = 110 gramount of tea leaves in a can froms and σ = 25 grams. A sam a particular production line is normple of 25 cans is to be selected. So, 95% of all samally distributed with ple
means will be greater than how many grams?
(Short Answer)
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SCENARIO 7-4
According to a survey, only 15% of customers who visited the web site of a major retail store made a
purchase. Random samples of size 50 are selected.
-Referring to Scenario 7-4, what proportion of the samples will have less than 15% of customers
who will make a purchase after visiting the web site?
(Short Answer)
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SCENARIO 7-8
A consulting firm that surveyed consumers' holiday shopping behavior found that the percentage of
consumers from the U.S., Canada, and China who said that they planned to spend more on holiday
shopping were 40%, 34% and 73%, respectively. Treat these results as representations of the
populations. Random samples of size 150 are selected from each of the three countries.
-Referring to Scenario 7-8, 90% of the samples from Canada will have more than what
percentage of consumers who will spend more on holiday shopping?
(Short Answer)
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