Exam 7: Sampling and Sampling Distributions
Exam 1: Data and Statistics98 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays62 Questions
Exam 3: Descriptive Statistics: Numerical Measures173 Questions
Exam 4: Introduction to Probability138 Questions
Exam 5: Discrete Probability Distributions123 Questions
Exam 6: Continuous Probability Distributions174 Questions
Exam 7: Sampling and Sampling Distributions133 Questions
Exam 8: Interval Estimation137 Questions
Exam 9: Hypothesis Tests148 Questions
Exam 10: Inference About Means and Proportions With Two Populations121 Questions
Exam 11: Inferences About Population Variances90 Questions
Exam 12: Comparing Multiple Proportions, Test of Independence and Goodness of Fit90 Questions
Exam 13: Experimental Design and Analysis of Variance115 Questions
Exam 14: Simple Linear Regression146 Questions
Exam 15: Multiple Regression115 Questions
Exam 16: Regression Analysis: Model Building76 Questions
Exam 17: Time Series Analysis and Forecasting68 Questions
Exam 18: Nonparametric Methods81 Questions
Exam 19: Statistical Methods for Quality Control29 Questions
Exam 20: Index Numbers52 Questions
Exam 21: Decision Analysis on Website65 Questions
Exam 22: Sample Survey on Website63 Questions
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The following data was collected from a simple random sample of a population. 13 15 14 16 12
The mean of the population
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The standard deviation of a sample of 100 elements taken from a very large population is determined to be 60. The variance of the population
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A random sample of ten examination papers in a course that was given on a pass or fail basis showed the following scores.
a.What is the point estimate for the mean of the population?
b.What is the point estimate for the standard deviation of the population?
c.What is the point estimate for the proportion of all students who passed the course?

(Short Answer)
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From a population of 200 elements, a sample of 49 elements is selected. It is determined that the sample mean is 56 and the sample standard deviation is 14. The standard error of the mean is
(Multiple Choice)
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The number of different simple random samples of size 5 that can be selected from a population of size 8 is
(Multiple Choice)
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Consider a population of five families with the following data representing the number of pets in each family.
a.Determine the mean and the variance of the population.
b.There are ten possible samples of size 2 (sampling without replacement). List the 10 possible samples of size 2, and determine the mean of each sample.
c.Using the ten sample mean values, compute the mean and the standard error of the mean.

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A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as the
(Multiple Choice)
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Starting salaries of a sample of five management majors along with their genders are shown below.
a.What is the point estimate for the starting salaries of all management majors?
b.Determine the point estimate for the variance of the population.
c.Determine the point estimate for the proportion of male employees.

(Short Answer)
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Which of the following is an example of nonprobabilistic sampling?
(Multiple Choice)
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MNM Corporation gives each of its employees an aptitude test. The scores on the test are normally distributed with a mean of 75 and a standard deviation of 15. A simple random sample of 25 is taken from a population of 500.
a.What are the expected value, the standard deviation, and the shape of the sampling distribution of
?
b.What is the probability that the average aptitude test in the sample will be between 70.14 and 82.14?
c.What is the probability that the average aptitude test in the sample will be greater than 82.68?
d.What is the probability that the average aptitude test in the sample will be less than 78.69?
e.Find a value, C, such that P(
C) = .015.



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The following data was collected from a simple random sample of a population. 13 15 14 16 12
If the population consisted of 10 elements, how many different random samples of size 6 could be drawn from the population?
(Multiple Choice)
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There are 8,000 students at the University of Tennessee at Chattanooga. The average age of all the students is 24 years with a standard deviation of 9 years. A random sample of 36 students is selected.
a.Determine the standard error of the mean.
b.What is the probability that the sample mean will be larger than 19.5?
c.What is the probability that the sample mean will be between 25.5 and 27 years?
(Short Answer)
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Four hundred people were asked whether gun laws should be more stringent. Three hundred said "yes," and 100 said "no." The point estimate of the proportion in the population who will respond "yes" is
(Multiple Choice)
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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.12 18
19
20
21
A point estimate of the mean is
(Multiple Choice)
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Random samples of size 17 are taken from a population that has 200 elements, a mean of 36, and a standard deviation of 8. Which of the following best describes the form of the sampling distribution of the sample mean for this situation?
(Multiple Choice)
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In a local university, 10% of the students live in the dormitories. A random sample of 100 students is selected for a particular study.
a.What is the probability that the sample proportion (the proportion living in the dormitories) is between 0.172 and 0.178?
b.What is the probability that the sample proportion (the proportion living in the dormitories) is greater than 0.025?
(Short Answer)
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Exhibit 7-3
In a local university, 40% of the students live in the dormitories. A random sample of 80 students is selected for a particular study.
-Refer to Exhibit 7-3. The probability that the sample proportion (the proportion living in the dormitories) is between 0.30 and 0.50 is
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The purpose of statistical inference is to provide information about the
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