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WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. What are random errors caused by?

A) Biased data
B) An instrument that needs calibration
C) Respondents favoring certain outcomes
D) Unpredictable fluctuations in readings

2. How do analytics help an organization?

A) They assist with investment management.
B) They develop fact-based strategies.
C) They increase employees' use of information systems.
D) They use data to persuade consumers.

3. An analyst used multiple linear regression to show how a big box store's sales (y) are predicted by the big box store's advertising expenditure in dollars (variable x1) and the advertising expenditure in dollars of a specialty store (variable x2) in the same market. The estimated regression is y = 651.57 + 92.30x1 # 26.89x2. How are advertising expenditures and sales related in this scenario?

A) If the specialty store increases its advertising expenditures, it will decrease the big box store's sales.
B) If the big box store decreases its advertising expenditures, its sales will increase.
C) If the big box store increases its advertising expenditures, its sales will decrease.
D) If the big box store decreases its advertising expenditures, it will decrease the big box store's sales.

4. Which two tools make it easier to detect an out-of-range error?
Choose 2 answers.

A) Observational studies
B) Experimental studies
C) Spreadsheets
D) Relational databases

5. An organization develops a new strategic plan and seeks ways to improve process performance by reducing variation to only 3.4 defects per million process outputs.
Which tool can the organization use to meet this goal?

A) Just-in-time
B) Six Sigma
C) Statistical process control
D) Linear programming

Solutions: