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Test Bank for Business Analytics, 3rd Edition (Pearson, 2019) by James Evans, Isbn no; 9780135231678 (Chapters 1-16) Complete Study Guide!!!!!!

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Test Bank for Business Analytics, 3rd Edition (Pearson, 2019) by James Evans, Isbn no; 9780135231678 (Chapters 1-16) Complete Study Guide!!!!!!

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Test Bank for Business Analytics, 3rd Edition by James R. Evans




TEST BANK
BUSINESS ANALYTICS, 3RD EDITION (PEARSON, 2019)
BY JAMES EVANS, ISBN NO; 9780135231678
(CHAPTERS 1-16) COMPLETE STUDY GUIDE!!!!!!

, Test Bank for Business Analytics, 3rd Edition by James R. Evans



Table of Contents
Chapter 1: Introduction to Business Analytics



Chapter 2: Database Analytics



Chapter 3: Data Visualization



Chapter 4: Descriptive Statistics



Chapter 5: Probability Distributions and Data Modeling



Chapter 6: Sampling and Estimation



Chapter 7: Statistical Inference



Chapter 8: Trendlines and Regression Analysis



Chapter 9: Forecasting Techniques



Chapter 10: Introduction to Data Mining



Chapter 11: Spreadsheet Modeling and Analysis



Chapter 12: Simulation and Risk Analysis



Chapter 13: Linear Optimization



Chapter 14: Integer and Nonlinear Optimization Models



Chapter 15: Optimization Analytics



Chapter 16: Decision Analysis

, Test Bank for Business Analytics, 3rd Edition by James R. Evans



Test Bank for Business Analytics, 3rd Edition (Pearson, 2019) by James
Evans, Isbn no; 9780135231678 (Chapters 1-16) Complete Study Guide!!!!!!
Chapter 1: Introduction to Business Analytics



1) Descriptive analytics:

A) can predict risk and find relationships in data not readily apparent with
traditional analyses.

B) helps companies classify their customers into segments to develop specific
marketing campaigns.

C) helps detect hidden patterns in large quantities of data to group data into
sets to predict behavior.

D) can use mathematical techniques with optimization to make decisions that
take into account the uncertainty in the data.

Correct Answer: B Diff: 1 Blooms: Remember

Topic: Descriptive, Predictive, and Prescriptive Analytics

LO1: Illustrate examples of descriptive, predictive, and prescriptive analytics.




2) A manager at Gampco Inc. wishes to know the company's revenue and profit in
its previous quarter. Which of the following business analytics will help the
manager?

A) prescriptive analytics

B) normative analytics

C) descriptive analytics

D) predictive analytics Correct Answer: C Diff: 1

Blooms: Apply AACSB: Analytic Skills

Topic: Descriptive, Predictive, and Prescriptive Analytics

LO1: Explain the difference between descriptive, predictive, and prescriptive
analytics.




3) Predictive analytics:

A) summarizes data into meaningful charts and reports that can be standardized
or customized.

B) identifies the best alternatives to minimize or maximize an objective.

, Test Bank for Business Analytics, 3rd Edition by James R. Evans



C) uses data to determine a course of action to be executed in a given
situation.



D) detects patterns in historical data and extrapolates them forward in time.
Correct Answer: D Diff: 2

Blooms: Remember

Topic: Descriptive, Predictive, and Prescriptive Analytics

LO1: Illustrate examples of descriptive, predictive, and prescriptive analytics.




4) A trader who wants to predict short-term movements in stock prices is
likely to use analytics.

A) predictive

B) descriptive

C) normative

D) prescriptive Correct Answer: A Diff: 1 Blooms: Apply AACSB: Analytic Skills

Topic: Descriptive, Predictive, and Prescriptive Analytics

LO1: Explain the difference between descriptive, predictive, and prescriptive
analytics.




5) Which of the following questions will prescriptive analytics help a company
address?

A) How many and what types of complaints did they resolve?

B) What is the best way of shipping goods from their factories to minimize
costs?

C) What do they expect to pay for fuel over the next several months?

D) What will happen if demand falls by 10% or if supplier prices go up 5%?
Correct Answer: B Diff: 2

Blooms: Understand AACSB: Analytic Skills

Topic: Descriptive, Predictive, and Prescriptive Analytics

LO1: Illustrate examples of descriptive, predictive, and prescriptive analytics.



6) The demand for coffee beans over a period of three months has been
represented in the form of an L- shaped curve. Which form of model was used here?
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