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Test Bank for Statistics for Managers Using Microsoft Excel 9th Edition Levine Stephan Szabat ||GUIDE A+

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Test Bank for Statistics for Managers Using Microsoft Excel 9th Edition Levine Stephan Szabat ||GUIDE A+

Institution
Statistics For Managers Using Microsoft Excel
Course
Statistics for Managers Using Microsoft Excel











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Institution
Statistics for Managers Using Microsoft Excel
Course
Statistics for Managers Using Microsoft Excel

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Uploaded on
October 30, 2025
Number of pages
32
Written in
2025/2026
Type
Exam (elaborations)
Contains
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MEDSTUDY,COM


Test Bank for Statistics for Managers Using
Microsoft Excel 9th Edition Levine Stephan
Szabat All Chapters 1 – 20
M
ED
ST
U
D
Y

,MEDSTUDY,COM

Getting Started: Important Things to Learn First

1. The process of using data collected from a small group to reach conclusions about a
large group is called
a) statistical inference.
b) DCOVA framework.
c) operational definition.
d) descriptive statistics.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics
M

2. Those methods involving the collection, presentation, and characterization of a set
of data in order to properly describe the various features of that set of data are
ED
called
a) statistical inference.
b) DCOVA framework.
c) operational definition.
d) descriptive statistics.
ST
ANSWER:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics

The collection and summarization of the socioeconomic and physical characteristics
U
3.
of the employees of a particular firm are examples of
a) inferential statistics.
D
b) descriptive statistics.
c) operational definition.
d) DCOVA framework.
Y
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics

4. The estimation of the population average family expenditure on food based on the
sample average expenditure of 1,000 families is an example of
a) inferential statistics.
b) descriptive statistics.
c) DCOVAframework.
d) operational definition.
ANSWER:
a

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TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics

5. Which of the following is not an element of descriptive statistical problems?
a) An inference made about the population based on the sample.
b) The population or sample of interest.
c) Tables, graphs, or numerical summary tools.
d) Identification of patterns in the data.
ANSWER:
a
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: descriptive statistics
M

6. A study is under way in Yosemite National Forest to determine the adult height of
American pine trees. Specifically, the study is attempting to determine what factors
ED
aid a tree in reaching heights greater than 60 feet tall. It is estimated that the forest
contains 25,000 adult American pines. The study involves collecting heights from
250 randomly selected adult American pine trees and analyzing the results.
Identify the variable of interest in the study.
a) The age of an American pine tree in Yosemite National Forest.
b) The height of an American pine tree in Yosemite National Forest.
ST
c) The number of American pine trees in Yosemite National Forest.
d) The species of trees in Yosemite National Forest.
ANSWER:
b
TYPE: MC DIFFICULTY: Easy
U
KEYWORDS: variable

Most analysts focus on the cost of tuition as the way to measure the cost of a college
D
7.
education. But incidentals, such as textbook costs, are rarely considered. A
researcher at Drummand University wishes to estimate the textbook costs of first-
Y
year students at Drummand. To do so, she monitored the textbook cost of 250 first-
year students and found that their average textbook cost was $600 per semester.
Identify the variable of interest to the researcher.
a) The textbook cost of first-year Drummand University students.
b) The year in school of Drummand University students.
c) The age of Drummand University students.
d) The cost of incidental expenses of Drummand University students.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: variable

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8. True or False: Problems may arise when statistically unsophisticated users who do
not understand the assumptions behind the statistical procedures or their limitations
are misled by results obtained from computer software.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: statistical package

9. True or False: Managers need an understanding of statistics to be able to present
and describe information accurately, draw conclusions about large populations
based on small samples, improve processes, and make reliable forecasts.
ANSWER:
True
M
TYPE: TF DIFFICULTY: Easy
KEYWORDS: reasons for learning statistics
ED
10. True or False: A professor computed the sample average exam score of 20 students
and used it to estimate the average exam score of the 1,500 students taking the exam.
This is an example of inferential statistics.
ANSWER:
True
ST
TYPE: TF DIFFICULTY: Easy
KEYWORDS: descriptive statistics, inferential statistics

11. True or False: Using the number of registered voters who turned out to vote for the
primary in Iowa to predict the number of registered voters who will turn out to vote
U
in Vermont’s primary is an example of descriptive statistics.
ANSWER:
False
D
TYPE: TF DIFFICULTY: Easy
KEYWORDS: descriptive statistics, inferential statistics
Y
12. True or False: Compiling the number of registered voters who turned out to vote
for the primary in Iowa is an example of descriptive statistics.
ANSWER:
True
TYPE: TF DIFFICULTY: Easy
KEYWORDS: descriptive statistics, inferential statistics
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