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WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. A financial analyst theorizes that commute times increase as the percentage of land availability for homes in a city decreases. To test this theory, the analyst uses a regression analysis. Which analysis result is supportive of this analyst's theory?

A) The p-value for the regression coefficient is 1.
B) The R-squared value is 0.90.
C) The p-value for the regression coefficient is 0.50.
D) The R-squared value is 0.10.

2. A nonprofit organization is asking for donations. It hopes to design an email campaign that will ensure it receives at least $50,000. The campaign will reach 10,000 donors and receive donations with a mean of $10 and a standard deviation of $5.
Which measure should be used to determine the probability of the campaign receiving $50,000?

A) T-statistic
B) Z-score
C) R-squared
D) Median

3. 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 which assembly line has the most output.
B) ANOVA can determine the rate at which production is completed for each assembly line.
C) ANOVA can determine the reason one assembly line outperforms the others.
D) ANOVA can determine whether there is a significant difference in the output among the assembly lines.

4. A county government must increase trust among voters that their tallying machines are accurately calibrated to count their votes. Each department is tasked with creating an online marketing campaign; however, the budget for these campaigns is limited.
How can the county apply data analytic approaches to allocate funds to each department?

A) By measuring the number of voter complaints per department
B) By benchmarking the voter turnout rates in each county
C) By surveying employees on polling strategies
D) By surveying the county controllers

5. 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?

A) F-statistic
B) Chi-square
C) Z-score
D) R-squared

Solutions: