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WGU Data-Driven-Decision-Making Exam Syllabus Topics:

SectionObjectives
Topic 1: Regression and Correlation Analysis- Interpreting correlation and causation
- Linear regression modeling
Topic 2: Decision Making Models- Decision trees and expected value analysis
- Risk and uncertainty in decision-making
Topic 3: Data Fundamentals and Business Analytics- Data types and data collection methods
- Descriptive statistics (mean, median, variance, standard deviation)
Topic 4: Hypothesis Testing- t-tests, chi-square tests, and significance testing
- Null and alternative hypotheses
Topic 5: Probability and Statistical Inference- Sampling methods and sampling error
- Probability concepts and distributions

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q77-Q82):

NEW QUESTION # 77
A store owner wants to know the average sales for each day of the week. Which is this store owner looking for?

Answer: B

Explanation:
The term "average" in this context refers to the mean, which is the most common measure of central tendency for numerical data. To calculate the mean daily sales, the store owner would add the sales values for the days being studied and divide by the number of days. This provides a single summary value representing the typical sales amount across the week. Variance measures how much the daily sales differ from one another, not the average itself. Distribution describes the overall pattern of the data, such as whether sales are clustered, spread out, or skewed. Median identifies the middle value when observations are ordered from smallest to largest, which can be useful when data are highly skewed, but it is not the standard interpretation of "average" unless specifically stated. Because the question asks directly for the average sales for each day of the week, the most accurate statistical measure is the mean. Thus, the correct answer is mean, which summarizes daily sales using arithmetic average.


NEW QUESTION # 78
Which distribution would have a mean and median that are approximately equal after an analysis of each employee's number of customer service calls over the last month?

Answer: A

Explanation:
In anormal distribution, data is symmetrically distributed around the center, causing the mean and median to be approximately equal. This is a fundamental property emphasized in data-driven decision making.
Skewed distributions, such as Pareto, cause the mean and median to differ significantly. Therefore, the correct answer isA.


NEW QUESTION # 79
How is a cause-and-effect diagram used?

Answer: D

Explanation:
A cause-and-effect diagram, also known as an Ishikawa diagram or fishbone diagram, is used to brainstorm and organize possible root causes of a problem. It helps teams think systematically about why a problem may be occurring by grouping causes into logical categories such as methods, materials, people, equipment, and environment. In the scenario given, an intermittency problem suggests an issue that happens irregularly and may be difficult to isolate, which makes a cause-and-effect diagram especially useful. Its purpose is not to assign blame but to support structured problem-solving and root cause analysis. It is also not a financial risk tool or an automated software diagram generator. In quality management and data-driven improvement, this diagram encourages teams to explore multiple contributing factors before deciding on corrective action.
Therefore, the correct answer is that it is used to brainstorm possible root causes for an intermittency problem.


NEW QUESTION # 80
A manager has been assigned to manage a digital marketing analytics team. The manager tasks the team with determining similarities among existing customers in the company's database, such as similarities in products purchased, location, and the average amount spent per order among existing customers.
Which type of activity will help the team accomplish this task?

Answer: A

Explanation:
Data miningis the appropriate activity for identifying patterns, similarities, and relationships within large datasets. In data-driven decision making, data mining techniques such as clustering and association analysis are commonly used to segment customers based on behavior and characteristics.
The task described involves uncovering hidden patterns across multiple variables, which aligns directly with data mining objectives. Linear programming focuses on optimization, regression predicts outcomes, and touchpoint analysis examines customer interactions rather than similarities.
Therefore, the correct answer isA, data mining.


NEW QUESTION # 81
Which two statements describe Ishikawa's seven basic tools of quality?
Choose 2 answers.

Answer: A,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 # 82
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