Test Bank - for Statistics for Managers Using Microsoft Excel 9th Edition by David M. Levine, David F. Stephan, Kathryn A. Szabat , All Chapters |Complete Guide A+

TEST BANK FOR
Statistics for Managers Using Microsoft Excel 9th Edition by David M. Levine,
David F. Stephan, Kathryn A. Szabat
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FULL TEST BANK!!!

, CONTENTS




Getting Started: Important Things to Learn First ................................................................... 0-1
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Chapter 1: Defining and Collecting Data. .............................................................................. 1-1
Chapter 2: Organizing and Visualizing Variables.................................................................. 2-1
Chapter 3: Numerical Descriptive Measures ......................................................................... 3-1
Chapter 4: Basic Probability .................................................................................................. 4-1
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Chapter 5: Discrete Probability Distributions......................................................................... 5-1
Chapter 6: The Normal Distribution and Other Continuous Distributions ............................ 6-1
Chapter 7: Sampling Distributions. ........................................................................................ 7-1
Chapter 8: Confidence Interval Estimation ............................................................................ 8-1
Chapter 9: Fundamentals of Hypothesis Testing: One-Sample Tests .................................... 9-1
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Chapter 10: Two-Sample Tests ............................................................................................ 10-1
Chapter 11: Analysis of Variance ........................................................................................ 11-1
Chapter 12: Chi-Square and Nonparametric Tests .............................................................. 12-1
Chapter 13: Simple Linear Regression................................................................................. 13-1
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Chapter 14: Introduction to Multiple Regression ................................................................. 14-1
Chapter 15: Multiple Regression Model Building ............................................................... 15-1
Chapter 16: Time-Series Forecasting ................................................................................... 16-1
Chapter 17: Business Analytics ............................................................................................ 17-1
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Chapter 18: A Roadmap for Analyzing Data ....................................................................... 18-1
Chapter 19: Statistical Applications in Quality Management (ONLINE)............................ 19-1
Chapter 20: Decision Making (ONLINE). ........................................................................... 20-1
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, 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.
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d) descriptive statistics.
ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: inferential statistics
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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 called
a) statistical inference.
b) DCOVA framework.
c) operational definition.
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d) descriptive statistics.
ANSWER:
d
TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics
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3. The collection and summarization of the socioeconomic and physical characteristics of the
employees of a particular firm are examples of
a) inferential statistics.
b) descriptive statistics.
c) operational definition.
d) DCOVA framework.
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ANSWER:
b
TYPE: MC DIFFICULTY: Easy
KEYWORDS: descriptive statistics
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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
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a) inferential statistics.
b) descriptive statistics.
c) DCOVA framework.
d) operational definition.
ANSWER:
a


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0-1

, 0-2 Getting Started: Important Things to Learn First


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.
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ANSWER:
a
TYPE: MC DIFFICULTY: Moderate
KEYWORDS: descriptive statistics
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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 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.
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a) The age of an American pine tree in Yosemite National Forest.
b) The height of an American pine tree in Yosemite National Forest.
c) The number of American pine trees in Yosemite National Forest.
d) The species of trees in Yosemite National Forest.
ANSWER:
b
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TYPE: MC DIFFICULTY: Easy
KEYWORDS: variable

7. Most analysts focus on the cost of tuition as the way to measure the cost of a college
education. But incidentals, such as textbook costs, are rarely considered. A researcher at
Drummand University wishes to estimate the textbook costs of first-year students at
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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.
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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.
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ANSWER:
a
TYPE: MC DIFFICULTY: Easy
KEYWORDS: variable




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