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WGU Data-Driven-Decision-Making Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Business Intelligence and Analytics | - Dashboards and Reporting - Predictive Analytics Basics - Key Performance Indicators (KPIs) - Data Mining Concepts |
| Data-Driven Culture and Communication | - Stakeholder Communication - Building Data-Informed Organizations - Presenting Data Insights - Ethical Considerations in Data Use |
| Decision-Making Frameworks | - Rational Decision Models - Evidence-Based Decision Making - Cost-Benefit Analysis - Risk Analysis and Assessment |
| Data Analysis Fundamentals | - Descriptive Statistics - Data Types and Measurement Scales - Data Quality and Cleaning - Data Visualization Techniques |
WGU VPC2Data-Driven Decision MakingC207 Sample Questions:
1. When researchers are studying the effect of new drug treatments on patients, bias can be introduced by patients if they are aware of who receives the placebo.
Which type of research design eliminates this type of bias?
A) Observational study
B) Blind study
C) Prospective cohort study
D) Time series study
2. Which process is considered a statistical process control activity?
A) Forecasting future consumer demand for a new product
B) Aligning marketing strategy with manufacturing capabilities
C) Evaluating consumer complaints about manufacturing defects
D) Determining if the precision of a manufactured product is within a tolerable range
3. A boutique specializing in gifts reviews its sales data over the last year. It observes a slow decline in revenue in the first quarter, a growth in revenue in the second quarter, a slight decline in revenue in the third quarter, and a rapid increase in revenue in the fourth quarter.
Which data pattern type can the sales data be assessed against?
A) Irregularity
B) Cyclicality
C) Seasonality
D) Random variation
4. Which exam type compares one student's performance on a test to other students' performance?
A) An ad hoc test
B) A norm-referenced test
C) An essay test
D) A criterion-referenced test
5. A plant manager wants to compare the production output for three assembly lines. Why is ANOVA the correct analysis technique to use for this scenario?
A) ANOVA can determine whether there is a significant difference in the output among the assembly lines.
B) ANOVA can determine the reason one assembly line outperforms the others.
C) ANOVA can determine the rate at which production is completed for each assembly line.
D) ANOVA can determine which assembly line has the most output.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: A |
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