Making Final Exam Verified A Answers

WGU C207 – Data-Driven Decision- Making Final Exam | Verified A+ Answers |

2025/2026

Section 1: Introduction

Covers key areas in data analytics, data visualization, interpretation, and informed decision- making strategies. Perfect for WGU students aiming for high performance.

Section 2: Exam Questions and Answers

• Analytics is a broad term that refers to a variety of tools that inform managerial

decisions. Which term can be used to describe managerial decisions?

• Pareto chart
• Biased
• Predictive
• Prescriptive

Correct Answer: D) Prescriptive

Rationale: Prescriptive analytics uses data to recommend specific actions for

managerial decisions, aligning with the goal of data-driven decision-making.

• What are two reasons for the increasing use of analytics in organizational

decision-making? (Choose 2)

• Lower availability of statistical experts
• Relatively lower cost of computer storage
• Higher cost of obtaining data
• Higher computer processing power

Correct Answer: B) Relatively lower cost of computer storage, D) Higher

computer processing power Rationale: Lower storage costs and increased processing power enable organizations to handle large datasets, driving analytics adoption.

• How does probability theory inform decision-making for managers?
• By quantifying quality
• By quantifying risk
• By quantifying data
• By quantifying costs

Correct Answer: B) By quantifying risk

Rationale: Probability theory helps managers assess and quantify risks, aiding in informed decision-making.

• Which type of data are Olympic medals (gold, silver, bronze) examples of?
• Nominal data
• Ordinal data
• Interval data
• Ratio data

Correct Answer: B) Ordinal data 1 / 2

Rationale: Olympic medals represent ordered categories (1st, 2nd, 3rd) but lack equal intervals, making them ordinal data.

• What are two aspects of data quality management? (Choose 2)
• It calculates spurious data
• It reduces the amount of incomplete data
• It monitors data input rates
• It cleans data

Correct Answer: B) It reduces the amount of incomplete data, D) It cleans data

Rationale: Data quality management involves cleaning data (correcting errors) and reducing incomplete data to ensure reliability.

• Amanda measures temperature and sees it is between 65 and 66°F. She accepts

this because temperature is not ____ data, but ____ data.

• Discrete, Continuous
• Continuous, Discrete
• Nominal, Ordinal
• Ordinal, Nominal

Correct Answer: A) Discrete, Continuous

Rationale: Temperature is continuous (can take any value within a range) rather than discrete (countable values).

• A manager analyzes a sales spike to understand its causes. Which type of

analytics is used?

• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics
• Diagnostic Analytics

Correct Answer: D) Diagnostic Analytics

Rationale: Diagnostic analytics examines data to understand the causes of past

events, like a sales spike.

• Which statistical tool compares means of two independent groups?

A) ANOVA

• Chi-square test
• T-test
• Correlation

Correct Answer: C) T-test

Rationale: A t-test compares the means of two independent groups to determine if they differ significantly.

• What is the first stage of Davenport and Kim’s Three Stage Model of

quantitative decision-making?

• Solve the problem
• Frame the problem
• Communicate insights
• Act on insights

Correct Answer: B) Frame the problem

Rationale: Framing the problem is the initial step, defining the issue before analysis.

• Which data error occurs consistently due to faulty equipment or bias?
• Random
• Omission
• Outlier
• Systematic

Correct Answer: D) Systematic

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