Question 1

Which of the following statements are false?

Accepted Answer

A) Decision-making includes optimization techniques for problems with no uncertainty,decision analysis for problems with uncertainty,and structured sensitivity analysis. 
B) The three themes of this book are data analysis,decision making,and uncertainty. 
C) Dealing with uncertainty includes measuring uncertainty and modeling uncertainty explicitly. 
D) None of these statements are false. 
A) Decision-making includes optimization techniques for problems with no uncertainty,decision analysis for problems with uncertainty,and structured sensitivity analysis. 
B) The three themes of this book are data analysis,decision making,and uncertainty. 
C) Dealing with uncertainty includes measuring uncertainty and modeling uncertainty explicitly. 
D) None of these statements are false.

Question 2

Which of the following statements is false?

Accepted Answer

A) A two-way table allows you to see how a single output cell varies as you vary two input cells. 
B) The SUMPRODUCT function takes two range arguments,which must be exactly the same size and shape,and it sums the products of the corresponding values in these two ranges. 
C) The purpose of the Auditing Toolbar is to solve one equation in with one unknown. 
D) The NPV function takes two arguments,the discount rate and a stream of cash flows. 
A) A two-way table allows you to see how a single output cell varies as you vary two input cells. 
B) The SUMPRODUCT function takes two range arguments,which must be exactly the same size and shape,and it sums the products of the corresponding values in these two ranges. 
C) The purpose of the Auditing Toolbar is to solve one equation in with one unknown. 
D) The NPV function takes two arguments,the discount rate and a stream of cash flows.

Question 3

What is not one of the important themes of your Business Analytics: Data Analysis & Decision Making text?

Accepted Answer

A) Data analysis 
B) Dealing with uncertainty 
C) Decision making 
D) Data mining 
A) Data analysis 
B) Dealing with uncertainty 
C) Decision making 
D) Data mining

Question 4

When creating a spreadsheet model it is important to keep sensitivity in mind,because other people will be reading and trying to make sense out of your spreadsheet models.

Accepted Answer

A) True 
 B)False

Which of the following statements are false?

Which of the following statements is false?

What is not one of the important themes of your Business Analytics: Data Analysis & Decision Making text?

When creating a spreadsheet model it is important to keep sensitivity in mind,because other people will be reading and trying to make sense out of your spreadsheet models.

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

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Exam 1: Introduction to Business Analytics

Which of the following statements are false?

Which of the following statements is false?

What is not one of the important themes of your Business Analytics: Data Analysis & Decision Making text?

When creating a spreadsheet model it is important to keep sensitivity in mind,because other people will be reading and trying to make sense out of your spreadsheet models.

Describing the Distribution of a Variable

Finding Relationships Among Variables

Business Intelligence Bifor Data Analysis

Probability and Probability Distributions

Decision Making Under Uncertainty

Sampling and Sampling Distributions

Confidence Interval Estimation

Hypothesis Testing

Regression Analysis: Estimating Relationships

Regression Analysis: Statistical Inference

Time Series Analysis and Forecasting

Introduction to Optimization Modeling

Optimization Models

Introduction to Simulation Modeling

Simulation Models

Data Mining

Analysis of Variance and Experimental Design

Statistical Process Control

Filters