WGU C207 Data-Driven Decision Making Module 1 Review
2026 | Verified Q&A | Graded A+
1. Describe how Data Management principles contribute to effective decision-
making.
Data Management focuses solely on data storage without considering
data quality.
Data Management does not influence decision-making processes.
Data Management is only concerned with the speed of data
processing.
Data Management principles ensure that data is accurate,
accessible, and secure, which supports informed decision-making.
2. If a public health department observes an increase in the incidence rate of a
disease, what actions might they take based on data-driven decision-making
principles?
Reduce funding for health programs in the area.
Implement targeted health interventions and allocate resources to
affected areas.
Focus solely on improving the quality of healthcare services without
addressing the disease.
Ignore the data as it may be a temporary fluctuation.
3. The government has to conduct cost-benefit analysis because
it uses taxpayers' money to provide public goods, so it must ensure
these goods are worth their cost to taxpayers.
taxpayers are not good at figuring out the best way to spend their
income.
, the government wants to get contractors to offer better deals for
projects such as bridges and freeways.
the government wants to benefit some contractors and not others.
4. What economic indicator does the Consumer Price Index (CPI) primarily
measure?
Inflation
Gross Domestic Product
Unemployment
Interest Rates
5. Describe how Lean methodology contributes to data-driven decision-
making.
Lean methodology is solely concerned with financial metrics.
Lean methodology prioritizes employee satisfaction over data
accuracy.
Lean methodology emphasizes the collection of large datasets for
analysis.
Lean methodology focuses on eliminating waste and streamlining
processes, which enhances the effectiveness of data-driven
decision-making.
6. Discuss the significance of the seven tools identified by Ishikawa in
addressing quality problems.
The seven tools are only useful for statistical analysis.
The seven tools focus solely on financial metrics.
, The seven tools are outdated and not applicable to modern quality
control.
The seven tools are significant as they provide systematic methods
for identifying and solving quality issues, leading to improved
processes.
7. List the three types of analytics mentioned in data-driven decision-making.
Qualitative, quantitative, mixed-methods
Statistical, computational, graphical
Descriptive, predictive, prescriptive
Exploratory, confirmatory, causal
8. Which of the following is a consequence of homoscedasticity?
Varying variance of residuals across different levels of the
independent variable
Increased likelihood of multicollinearity
Increased model complexity
Constant variance of residuals across all levels of the independent
variable
9. A p value <.05 (less than 5% chance of error) is:
statistically significant at the 50% level
statistically insignificant
statistically significant at the 5 % level
statistically significant (95% certainty that results are not due to
chance)
, 10. What term describes inputs that incorporate uncertainty and variability in
data analysis?
Deterministic inputs
Qualitative inputs
Quantitative inputs
Probabilistic inputs
11. What is the definition of a probability distribution?
A probability distribution is a statistical test used to analyze variance.
A probability distribution is a mathematical function that describes
the likelihood of different outcomes in an experiment.
A probability distribution is a method for collecting data.
A probability distribution is a graphical representation of data points.
12. In a research project aimed at understanding the long-term effects of a new
diet, which study design would be most appropriate to track participants'
health outcomes over several years?
Prospective cohort study
Case-control study
Retrospective cohort study
Cross-sectional study
13. The skewness of a distribution refers to its:
central tendency
flatness
2026 | Verified Q&A | Graded A+
1. Describe how Data Management principles contribute to effective decision-
making.
Data Management focuses solely on data storage without considering
data quality.
Data Management does not influence decision-making processes.
Data Management is only concerned with the speed of data
processing.
Data Management principles ensure that data is accurate,
accessible, and secure, which supports informed decision-making.
2. If a public health department observes an increase in the incidence rate of a
disease, what actions might they take based on data-driven decision-making
principles?
Reduce funding for health programs in the area.
Implement targeted health interventions and allocate resources to
affected areas.
Focus solely on improving the quality of healthcare services without
addressing the disease.
Ignore the data as it may be a temporary fluctuation.
3. The government has to conduct cost-benefit analysis because
it uses taxpayers' money to provide public goods, so it must ensure
these goods are worth their cost to taxpayers.
taxpayers are not good at figuring out the best way to spend their
income.
, the government wants to get contractors to offer better deals for
projects such as bridges and freeways.
the government wants to benefit some contractors and not others.
4. What economic indicator does the Consumer Price Index (CPI) primarily
measure?
Inflation
Gross Domestic Product
Unemployment
Interest Rates
5. Describe how Lean methodology contributes to data-driven decision-
making.
Lean methodology is solely concerned with financial metrics.
Lean methodology prioritizes employee satisfaction over data
accuracy.
Lean methodology emphasizes the collection of large datasets for
analysis.
Lean methodology focuses on eliminating waste and streamlining
processes, which enhances the effectiveness of data-driven
decision-making.
6. Discuss the significance of the seven tools identified by Ishikawa in
addressing quality problems.
The seven tools are only useful for statistical analysis.
The seven tools focus solely on financial metrics.
, The seven tools are outdated and not applicable to modern quality
control.
The seven tools are significant as they provide systematic methods
for identifying and solving quality issues, leading to improved
processes.
7. List the three types of analytics mentioned in data-driven decision-making.
Qualitative, quantitative, mixed-methods
Statistical, computational, graphical
Descriptive, predictive, prescriptive
Exploratory, confirmatory, causal
8. Which of the following is a consequence of homoscedasticity?
Varying variance of residuals across different levels of the
independent variable
Increased likelihood of multicollinearity
Increased model complexity
Constant variance of residuals across all levels of the independent
variable
9. A p value <.05 (less than 5% chance of error) is:
statistically significant at the 50% level
statistically insignificant
statistically significant at the 5 % level
statistically significant (95% certainty that results are not due to
chance)
, 10. What term describes inputs that incorporate uncertainty and variability in
data analysis?
Deterministic inputs
Qualitative inputs
Quantitative inputs
Probabilistic inputs
11. What is the definition of a probability distribution?
A probability distribution is a statistical test used to analyze variance.
A probability distribution is a mathematical function that describes
the likelihood of different outcomes in an experiment.
A probability distribution is a method for collecting data.
A probability distribution is a graphical representation of data points.
12. In a research project aimed at understanding the long-term effects of a new
diet, which study design would be most appropriate to track participants'
health outcomes over several years?
Prospective cohort study
Case-control study
Retrospective cohort study
Cross-sectional study
13. The skewness of a distribution refers to its:
central tendency
flatness
