Exam 3: Descriptive Statistics: Numerical Measures
Exam 1: Data and Statistics106 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays80 Questions
Exam 3: Descriptive Statistics: Numerical Measures157 Questions
Exam 4: Introduction to Probability158 Questions
Exam 5: Discrete Probability Distributions122 Questions
Exam 6: Continuous Probability Distributions163 Questions
Exam 7: Sampling and Sampling Distributions124 Questions
Exam 8: Interval Estimation128 Questions
Exam 9: Hypothesis Tests133 Questions
Exam 10: Comparisons Involving Means, Experimental Design, and Analysis of Variance194 Questions
Exam 11: Comparisons Involving Proportions and a Test of Independence99 Questions
Exam 12: Simple Linear Regression134 Questions
Exam 13: Multiple Regression144 Questions
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Exhibit 3-4
The following is the frequency distribution for the speeds of a sample of automobiles traveling on an interstate highway.
Speed Miles per Hour Frequency 50-54 2 55-59 4 60-64 5 65-69 10 70-74 9 75-79 5 35
-Refer to Exhibit 3-4. The mean is
(Multiple Choice)
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The variance of a sample of 169 observations equals 576. The standard deviation of the sample equals
(Multiple Choice)
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The following frequency distribution shows the GMAT scores of a sample of MBA students.
GMAT Score Frequency 300 to 400 1 400 to 500 5 500 to 600 9 600 to 700 3 700 to 800 2 For the above data, compute the mean GMAT score.
(Short Answer)
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In 2013, the average age of students at UTC was 22 with a standard deviation of 3.96. In 2014, the average age was 24 with a standard deviation of 4.08. In which year do the ages show a more dispersed distribution? Show your complete work and support your answer.
(Essay)
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A numerical value used as a summary measure for a sample, such as sample mean, is known as a
(Multiple Choice)
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The following data represent the daily supply y in thousands of units) and the unit price x in dollars) for a product.
Daily Supply y) Unit Price x) 5 2 7 4 9 8 12 5 10 7 13 8 16 16 16 6
a. Compute and interpret the sample covariance for the above data.
b. Compute the standard deviation for the daily supply.
c. Compute the standard deviation for the unit price.
d. Compute and interpret the sample correlation coefficient.
(Essay)
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The following is a frequency distribution for the ages of a sample of employees at a local company.
Age Frequency 30-39 2 40-49 3 50-59 7 60-69 5 70-79 1
a. Determine the average age for the sample.
b. Compute the variance.
c. Compute the standard deviation.
d. Compute the coefficient of variation.
(Short Answer)
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The following frequency distribution shows the ACT scores of a sample of students:
Score Frequency 14-18 2 19-23 5 24-28 12 29-33 1 For the above data, compute the following.
a. The mean
b. The standard deviation
(Short Answer)
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Which of the following is not a measure of central location?
(Multiple Choice)
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Since the population is always larger than the sample, the value of the sample mean
(Multiple Choice)
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The standard deviation of a sample was reported to be 20. The report indicated that = 7200. What has been the sample size?
(Multiple Choice)
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Exhibit 3-5
You are given the following frequency distribution.
Class Frequency 10-14 1 15-19 2 20-24 5 25-29 8 30-34 4
-Refer to Exhibit 3-5. The variance is
(Multiple Choice)
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The starting salaries of a sample of college students are given below.
Starting Salary In Frequency 20-24 1 25-29 3 30-34 7 35-39 6 40-44 2 45-49 1
a. Compute the mean.
b. Compute the variance.
c. Compute the standard deviation.
d. Compute the coefficient of variation.
(Short Answer)
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When computing the mean of a set of values xi, the value of ∑xi
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