Written by students who passed Immediately available after payment Read online or as PDF Wrong document? Swap it for free 4,6 TrustPilot
logo-home
Document preview thumbnail
Preview 4 out of 887 pages
Exam (elaborations)

Business Analytics (6th Edition) – Complete Test Bank & Exam Practice Questions (Chapters 1–18) | Camm et al.

Document preview thumbnail
Preview 4 out of 887 pages

Complete Test Bank for Business Analytics, 6th Edition Created to support exam preparation, quizzes, midterms, and final exams. This test bank is fully aligned with Business Analytics (6th Edition) by Jeffrey D. Camm, James J. Cochran, Michael J. Fry, and Jeffrey W. Ohlmann, covering all chapters from 1 to 18. What’s included: Multiple Choice Questions (MCQs) Short Answer questions Answers included for all questions. This resource is designed to help students practice exam-style questions across analytics, statistics, machine learning, optimization, and decision analysis topics commonly assessed in coursework. Textbook details: Business Analytics, 6th Edition Authors: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann ISBN: 9798214057361 Chapters included: Introduction Descriptive Statistics Data Visualization Data Wrangling Probability: An Introduction to Modeling Uncertainty Unsupervised Machine Learning Statistical Inference Linear Regression Time Series Analysis and Forecasting Supervised Machine Learning: Regression Supervised Machine Learning: Classification Spreadsheet Modeling Monte Carlo Simulation Linear Optimization Models Integer Linear Optimization Models Nonlinear Optimization Models Decision Analysis Artificial Intelligence Ideal for: Business analytics and data analytics students Exam and quiz preparation Midterm and final review Students seeking structured exam practice questions

Content preview

Test Bank for Business Analytics, 6th Edition by Jeffrey D. Camm
Chap 01 6e - Camm

Indicate the answer choice that best completes the statement or answers the question.
1. In the spectrum of business analytics, which is the most complex?
a. Descriptive
b. Predictive
c. Prescriptive
d. Operational

ANSWER: c

2. Which of the following is NOT an approach to making decisions?
a. Tradition
b. Rules of thumb
c. Intuition
d. Guess and check

ANSWER: d

3. A company analyzes customer tweets and call recordings. This demonstrates which “V” of big data?
a. Volume
b. Variety
c. Veracity
d. Velocity

ANSWER: b

4. Which of the following do corporate-level managers use to summarize sales by region, current inventory levels,
and other company-wide metrics all in a single screen?
a. Simulations
b. Cross-tabulations
c. Data dashboards
d. Tables

ANSWER: c

5. Picks and Axes Inc. is an Internet-based retail seller of hiking boots and mountaineering gear. The company
decides to open retail stores across the major areas of the city to help complement its Internet-based strategy.
This activity would be categorized as a(n) _____.
a. tactical decision
b. operational decision
c. strategic decision
d. financial decision

ANSWER: c



Page 1

,Name: Class: Date:

Chap 01 6e - Camm

6. Which of the following sources of big data is NOT publicly available?
a. Twitter
b. Weather data
c. Medical records
d. Sports records

ANSWER: c

7. What is the main concern addressed by the veracity characteristic of big data?
a. The ethical use of algorithms
b. The real-time nature of streaming data
c. The uncertainty or trustworthiness of data
d. The size and scope of data

ANSWER: c

8. What ethical problem arises from using biased data in modeling?
a. Models perform faster.
b. Models reflect outdated software.
c. Models lead to unfair decisions.
d. Models become more secure.

ANSWER: c

9. A light bulb manufacturer uses descriptive analytics to _____.
a. present supply chain to managers visually
b. achieve efficiency in delivery of goods
c. schedule staff and vehicle for delivery
d. plan capacity utilization by incorporating the inherent uncertainty in commodities pricing

ANSWER: a

10. Which of the following best exemplifies big data?
a. Five hundred Facebook users upload one thousand pictures per day.
b. Cellphone owners around the world generate vast amounts of data by calling, texting, tweeting, and
browsing the Web on a daily basis.
c. A local grocery store collects data from those that scan their loyalty card.
d. A pharmacy keeps track of customer purchases to send its customers coupons.

ANSWER: b




Page 2

,Name: Class: Date:

Chap 01 6e - Camm

11. The extraction of information on the number of shipments, how much was included in each shipment, the date
each shipment was sent, and so on from the manufacturing plant’s database exemplifies _____.
a. spreadsheet models
b. data dashboards
c. data mining
d. data queries

ANSWER: d

12. An airline uses simulation to evaluate pricing strategies. This is an example of _____ analytics.
a. predictive
b. descriptive
c. prescriptive
d. decision

ANSWER: c

13. Which of the following is used in the pharmaceutical industry to assess the risk of introducing a new drug?
a. Data dashboard
b. Chart
c. Spreadsheet model
d. Simulation

ANSWER: d

14. Which one of the following is used in predictive analytics?
a. Data dashboard
b. Linear regression
c. Data visualization
d. Optimization model

ANSWER: b

15. Which of the following analytical techniques helps us arrive at the best decision?
a. Predictive analytics
b. Data mining
c. Prescriptive analytics
d. Descriptive analytics

ANSWER: c




Page 3

, Name: Class: Date:

Chap 01 6e - Camm

16. Data-driven decision making tends to decrease a firm's _____.
a. market value
b. productivity
c. risk
d. profit

ANSWER: c

17. Which type of decision is concerned with how the organization should achieve the goals and objectives set by its
strategy?
a. Tactical
b. Strategic
c. Intuitive
d. Operational

ANSWER: a

18. What type of analytics uses techniques that take input data and yield a best course of action?
a. Prescriptive
b. Simulation
c. Strategic
d. Operational

ANSWER: a

19. According to INFORMS ethics, analytics professionals should _____.
a. prioritize speed over accuracy
b. withhold analysis from stakeholders
c. be objective and transparent
d. focus only on profits

ANSWER: c

20. What makes Generative AI different from traditional AI?
a. It does not require data.
b. It generates new content such as text, images, or audio.
c. It only works in manufacturing.
d. It requires manual coding for every function.

ANSWER: b




Page 4

Document information

Uploaded on
February 7, 2026
Number of pages
887
Written in
2025/2026
Type
Exam (elaborations)
Contains
Questions & answers
$29.99

Wrong document? Swap it for free Within 14 days of purchase and before downloading, you can choose a different document. You can simply spend the amount again.
Written by students who passed
Immediately available after payment
Read online or as PDF

Seller avatar
Reputation scores are based on the amount of documents a seller has sold for a fee and the reviews they have received for those documents. There are three levels: Bronze, Silver and Gold. The better the reputation, the more your can rely on the quality of the sellers work.
Tutor247
4.2
(850)
Sold
6800
Followers
3563
Items
1248
Last sold
17 hours ago


Why students choose Stuvia

Created by fellow students, verified by reviews

Quality you can trust: written by students who passed their exams and reviewed by others who've used these notes.

Didn't get what you expected? Choose another document

No worries! You can immediately select a different document that better matches what you need.

Pay how you prefer, start learning right away

No subscription, no commitments. Pay the way you're used to via credit card or EFT and download your PDF document instantly.

Student with book image

“Bought, downloaded, and aced it. It really can be that simple.”

Alisha Student

Working on your references?

Create accurate citations in APA, MLA and Harvard with our free citation generator.

Working on your references?

Frequently asked questions