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

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. What was the cumulative incidence rate during Year 2 at the university?

A) 10.04%
B) 3.70%
C) 11.84%
D) 17.87%

2. How is a cause-and-effect diagram used?

A) To brainstorm possible root causes for an intermittency problem
B) To assign blame for manufacturing problems
C) As a software tool to automatically generate a business process diagram
D) As a financial risk calculation tool for a new product release

3. Why are sample sizes important for ensuring statistical significance?

A) So that accurate conclusions can be confidently applied to larger populations
B) So that the possibility of researcher bias is eliminated
C) So that a hypothesis cannot be misinterpreted
D) So that no additional analysis is required

4. A clothing company wants to predict sales figures based on the amount spent on advertising.
Which type of regression analysis should this company use?

A) Linear regression
B) Multiple linear regression
C) Time series regression
D) Logistic regression

5. Research data indicate 95% confidence in a study in which subjects who were shown a product advertisement exhibited brand awareness compared to a control group who did not see the advertisement.
What can be concluded from this study?

A) The advertisement was effective in building brand awareness.
B) The advertisement was effective in increasing sales.
C) Five percent of the subjects did not like the advertisement.
D) Ninety-five percent of the subjects liked the brand.

Solutions: