Exam 7: Sampling and Sampling Distributions
Exam 1: Data and Statistics84 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Presentations116 Questions
Exam 3: Descriptive Statistics: Numerical Measures130 Questions
Exam 4: Introduction to Probability127 Questions
Exam 5: Discrete Probability Distributions146 Questions
Exam 6: Continuous Probability Distributions138 Questions
Exam 7: Sampling and Sampling Distributions123 Questions
Exam 8: Interval Estimation111 Questions
Exam 9: Hypothesis Tests117 Questions
Exam 10: Comparisons Involving Means, Experimental Design, and Analysis of Variance184 Questions
Exam 11: Comparisons Involving Proportions and a Test of Independence117 Questions
Exam 12: Simple Linear Regression107 Questions
Exam 13: Multiple Regression111 Questions
Exam 14: Statistical Methods for Quality Control72 Questions
Exam 15: Time Series Analysis and Forecastng75 Questions
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The purpose of statistical inference is to provide information about the
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A random sample of 150 people was taken from a very large population. Ninety of the people in the sample were females. The standard error of the proportion of females is
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As the sample size becomes larger, the sampling distribution of the sample mean approaches a
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A numerical measure from a population, such as a population mean, is called
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A simple random sample of 5 observations from a population containing 400 elements was taken, and the following values were obtained.
A point estimate of the population mean is

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A random sample of nine telephone calls in an office provided the following information.
a.Determine the point estimate for the average duration of all calls.
b.What is the point estimate for the standard deviation of the population?
c.What is the point estimate for the proportion of all calls that were long distance?

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In computing the standard error of the mean, the finite population correction factor is not used when
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The mean diameter of a ball bearing produced by a certain manufacturer is 0.80 cm with a standard deviation of 0.03 cm. A sample of 36 ball bearings is randomly selected from a production run. Use Excel to answer the following questions.
a.What is the probability that the sample of ball bearings will have a mean less than 0.798 cm?
b.What is the probability that the sample of ball bearings will have a mean of at least 0.815 cm?
c.What is the probability that the sample of ball bearings will have a mean between 0.798 and 0.815 cm?
d.For samples of size 36, 15% of all sample means are at most what diameter?
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A simple random sample of 8 employees of a corporation provided the following information.
a.Determine the point estimate for the average age of all employees.
b.What is the point estimate for the standard deviation of the population?
c.Determine a point estimate for the proportion of all employees who are female.

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There are 6 children in a family. The number of children defines a population. The number of simple random samples of size 2 (without replacement) which are possible equals
(Multiple Choice)
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A simple random sample of 64 observations was taken from a large population. The population standard deviation is 120. The sample mean was determined to be 320. The standard error of the mean is
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The average lifetime of a light bulb is 3,000 hours with a standard deviation of 696 hours. A simple random sample of 36 bulbs is taken.
a.What are the expected value, standard deviation, and shape of the sampling distribution of?
b.What is the random variable in this problem? Define it in words.
c.What is the probability that the average life in the sample will be between 2,670.56 and 2,809.76 hours?
d.What is the probability that the average life in the sample will be greater than 3,219.24 hours?
e.What is the probability that the average life in the sample will be less than 3,180.96 hours?
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A numerical measure from a sample, such as a sample mean, is known as
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The proportion of Americans who support the death penalty is 0.53. A sample of 1000 randomly selected Americans is surveyed by telephone interview. Use Excel to answer the following questions.
a.What is the probability that the sample proportion of those supporting the death penalty will be less than 0.50?
b.What is the probability that the sample proportion of those supporting the death penalty will be at least 0.55?
c.What is the probability that the sample proportion of those supporting the death penalty will be between 0.50 and 0.55?
d.For samples of size 1000, 15% of all sample proportions are at most what value?
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Since the sample size is always smaller than the size of the population, the sample mean must
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How many different samples of size 3 (without replacement) can be taken from a finite population of size 10?
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Which of the following is an example of a nonprobability sampling technique?
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Exhibit 7-1
The following data was collected from a simple random sample from a process (an infinite population).
-Refer to Exhibit 7-1. The mean of the population

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