Complete Test Bank Business Analytics 3rd Edition Evans Questions & Answers with rationales ||Complete Guide

Complete Test Bank Business Analytics 3rd
yy yy yy yy yy yy




Edition Evans Questions & Answers with
yy yy yy yy yy yy yy




rationales yy

, BusinessAnalytics3rdEditionEvansTestBank
y yy y yy y y




Test Bank - Table of Contents
yy y y yy y y y y




Chapter Introduction to Business Analytics yy yy y y 1
1:
y y




Chapter 1: Appendix A1 Basic Excel Skills
yy yy yy yy y y 16
Chapter Database Analytics yy 24
2:
y y




Chapter 3: Data Visualization
yy yy 37
Chapter Descriptive Statistics yy 50
4:
y y




Chapter Probability Distributions and Data Modeling
yy y y yy y y 92
5:
y y




Chapter Sampling and Estimation y y y y 108
6:
y y




Chapter Statistical Inference yy 127
7:
y y




Chapter Trendlines and Regression Analysis yy yy yy 145
8:
y y




Chapter Forecasting Techniques yy 163
9:
y y




Chapter Introduction to Data Mining yy yy yy 184
10:
y y




Chapter Spreadsheet Modeling and Analysis yy yy yy 198
11:
y y




Chapter Simulation and Risk Analysis yy y y yy 223
12:
y y




Chapter Linear Optimization yy 237
13:
y y




Chapter Integer and Nonlinear Optimization Models
yy y y y y y y 260
14:
y y




Chapter Optimization Analytics yy 295
15:
y y




Chapter 16: Decision Analysis
yy yy 313

,Chapter 1: yy y y y y Introduction to Business Analytics y y y y y y




1) Descriptive analytics: yy



A) can predict risk and find relationships in data not readily apparent with traditional
yy y y y y y y y y y y y y y y y y yy y y yy



analyses.
y y



B) helps companies classify their customers into segments to develop specific
yy yy yy yy yy yy yy yy yy



marketing campaigns.
yy yy



C) helps detect hidden patterns in large quantities of data to group data into
y y y y yy y y y y yy y y yy y y y y yy yy



sets to predict behavior.
yy y y yy yy



D) can use mathematical techniques with optimization to make decisions that take into
yy yy yy yy yy yy yy yy yy yy yy



account the uncertainty in the data.
y y yy yy yy yy yy



Answer: B yy



Diff: 1
yy yy



Blooms: Remember
Topic: Descriptive, Predictive, and Prescriptive Analytics
y y y y yy y y yy yy



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




2) A manager at Gampco Inc. wishes to know the company's revenue and profit
yy yy yy y y y y yy yy yy yy y y yy yy



in its previous quarter. Which of the following business analytics will
y y yy yy y y y y y y y y y y y y y y y y



help the manager?
y y y y y y



A) prescriptive analytics yy



B) normative analytics yy



C) descriptive analytics yy



D) predictive
analytics Answer:
yy yy



y C y



Diff: 1 yy



Blooms: Apply
AACSB:
yy



Analytic Skills
y y yy



Topic: Descriptive, Predictive, and Prescriptive Analytics
y y y y yy y y yy yy



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




3) Predictive analytics: yy



A) summarizes data into meaningful charts and reports that can be standardized or
yy y y y y y y yy y y y y y y yy yy y y



customized.
y y



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



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



D) detects patterns in historical data and extrapolates them forward in
yy yy yy yy yy yy yy yy yy



time. Answer: D
yy yy y y



Diff: 2 yy



Blooms: Remember
Topic: Descriptive, Predictive, and Prescriptive Analytics
y y y y yy y y yy yy



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

, 1