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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q16-Q21):

NEW QUESTION # 16
How does a balanced scorecard (BSC) differ from a key performance indicator (KPI)?

A. A BSC and a KPI are identical except that a BSC is a measurement of metrics over time, and a KPI is a snapshot of success at one point in time.
B. A KPI aligns with just one aspect of an organization's success, whereas a BSC allows managers to view performance in several areas.
C. A BSC and a KPI are identical except that a BSC is used in business settings, and a KPI is used exclusively by governmental agencies.
D. A BSC aligns with just one aspect of an organization's success, whereas a KPI allows managers to simultaneously view performance in several areas.

Answer: B

Explanation:
Akey performance indicator (KPI)measures performance in asingle critical area, such as revenue growth or customer satisfaction. In contrast, abalanced scorecard (BSC)provides amulti-dimensional view of organizational performance, typically across financial, customer, internal process, and learning perspectives.
Data-driven decision making emphasizes that relying on a single metric can lead to incomplete or biased conclusions. The BSC addresses this by integrating multiple KPIs into a cohesive framework aligned with strategic objectives.
Therefore, optionAcorrectly explains the distinction between a KPI and a BSC.

NEW QUESTION # 17
Which graphical display is used to examine the distribution of a data set with quartiles?

A. Boxplot
B. Pareto chart
C. Bivariate chart
D. Scatterplot

Answer: A

Explanation:
Aboxplotis specifically designed to display the distribution of a dataset using quartiles. In data-driven decision making, boxplots visually summarize data through the minimum, first quartile, median, third quartile, and maximum.
Boxplots are useful for identifying spread, central tendency, skewness, and potential outliers. Scatterplots and bivariate charts analyze relationships between variables, while Pareto charts rank categorical data by frequency.
Because quartiles are the defining feature of a boxplot, the correct answer isC.

NEW QUESTION # 18
What must be analyzed using powerful analytic tools?

A. Small, independent data sets
B. Big data
C. Data analysis results
D. Inferential statistics

Answer: B

Explanation:
Big datamust be analyzed using powerful analytic tools due to its volume, velocity, and variety. In data- driven decision making, traditional tools are often insufficient for processing massive, complex datasets generated from digital platforms, sensors, and transactions.
Big data requires advanced computing power, specialized software, and sophisticated algorithms to extract meaningful insights. Inferential statistics and small datasets can often be handled with conventional statistical tools.
Therefore, the correct answer isC, big data.

NEW QUESTION # 19
Which two statements describe Ishikawa's seven basic tools of quality?
Choose 2 answers.

A. Processes are represented with photos of each input and output.
B. The tools help develop advanced training for employees.
C. An average worker can easily understand how to use the tools.
D. Processes are represented graphically.

Answer: C,D

Explanation:
Ishikawa'sseven basic tools of qualitywere designed to be simple, visual, and accessible. In data-driven decision making, these tools help employees identify, analyze, and solve quality problems without requiring advanced statistical expertise.
The tools-such as flowcharts, histograms, Pareto charts, and cause-and-effect diagrams-represent processes graphically, making patterns and issues easier to understand. Additionally, they are intentionally designed so thatan average worker can easily understand and use them, supporting organization-wide quality improvement.
They do not rely on photographic representations, nor are they intended for advanced or expert-level training.
Instead, they empower frontline employees to participate in continuous improvement efforts.
Therefore, the correct answers areA and C.

NEW QUESTION # 20
How should a marketing consulting firm perform a cluster analysis for a new granola bar?

A. Determine the reasons for consumer granola bar purchases
B. Determine competitor benchmarks and forecasts for comparison
C. Determine the different segments or groups to target
D. Determine whether there are any granola bar sales trends

Answer: C

Explanation:
Cluster analysisis an unsupervised learning technique used to group observations based on similarity. In data- driven decision making, it is commonly used formarket segmentation, allowing firms to identify distinct customer groups with similar preferences or behaviors.
For a new granola bar, cluster analysis helps determine which consumer segments exist, such as health- conscious buyers, convenience-focused consumers, or price-sensitive shoppers. This enables targeted marketing strategies and product positioning.
Understanding reasons for purchase requires survey or causal analysis, not clustering. Competitor benchmarking and trend analysis involve different analytical techniques.
Therefore, the correct answer isB, determining different segments or groups to target.

NEW QUESTION # 21
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