WGU Data Driven Decision Making Dumps (V8.02) for Preparation – Complete Your WGU Data-Driven Decision Making Exam Course in 2026

1. A political ballot gives voters the option to vote for one of three candidates. Eight voters cast their ballots.

Which statistical rule should be used to determine the possible voting outcomes?

2. A retail manager collected the following sales-receipt totals from the store’s cashiers:

$25, $22, $48, $42, $32, $28, $24, $54, $34, $41, $48

What is the median of this sales-receipt data?

3. What is an omission error?

4. Why would a human resources department use both mean and median when doing a salary evaluation of a department?

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

6. Which type of analytics classification uses experimental design and optimization to suggest a course of action?

7. 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?

8. A car dealership sells both new and used cars. The number of new cars sold on a given day ranges from 5 to 30 while the number of used cars sold ranges from 5 to 40. The number of used cars sold is mutually exclusive to the number of new cars sold.

Which statistic would be used to compare the number of new and used car sales on any given day?

9. Which element of an experimental study is described as the procedures applied to each subject?

10. What are two benefits of good data quality management in improving business decision-making? Choose 2 answers.

11. 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?

12. Which type of study is also known as a quasi-experimental study?

13. In an experimental study, researchers are testing a new flea preventive medication on dogs using a blind study. Dogs are treated with the new medication or with a placebo.

Who should know which dogs are given the medication or the placebo for this blind study?

14. Amusement Park W is in California. Amusement Park X is in Texas. A survey asks 1,000 people living in California if they prefer Amusement Park W or X.

Which problem exists with this survey?

15. 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?

16. Which graphical display is used to examine the distribution of a data set with quartiles?

17. A patient satisfaction survey was conducted at Family Practice A. The average rating of online telemedicine visits was 4.5 out of 5, while in-person visits received a 3.0 out of 5.

Which samples should be used to compare the ratings?

18. Two project teams are assigned to upgrade an on-premise data warehouse to a cloud-based data lake in 13 months. The infrastructure team has five team members, while the enterprise analytics team has three team members. The enterprise analytics team cannot move into production until the infrastructure team has completed the migration.

What should be used to find the probability that the project will be completed on time?

19. How do analytics help an organization?

20. What is an appropriate management use of statistics?

21. Which two results occur when the null hypothesis is accepted using an F-test?

Choose 2 answers.

22. What results from starting an analysis with flawed data? Choose 2 answers.

23. What classifies analytics as descriptive, predictive, or prescriptive?

24. A researcher seeks to pass a bond issue and asks a sample of respondents who have a bachelor’s degree if they are voting in favor of the bond because it would be beneficial to the county.

Which type of error does this represent?

25. A nonprofit organization ran a fundraiser and would like to determine the amount of a typical donation.

Which statistic is less affected by outliers and skewed data and should be used to determine the amount of a typical donation?