WGU C207 Objective Assessment Study Guide |
Data-Driven Decision Making | Practice Questions,
Answers & Rationales
Prepare for the WGU C207 Objective Assessment with this comprehensive
study guide featuring original practice questions, accurate answers, and
detailed rationales. Covers data-driven decision making, statistics,
probability, hypothesis testing, regression, data analysis, and business
analytics concepts. Perfect for focused review, self-assessment, and building
confidence before your WGU C207 exam.
1. An operations manager at a software company wants to test whether a
newly implemented coding framework has decreased the average
development time for new feature deployments. The manager collects
deployment duration data from 40 specific software modules before the
change and tracks those exact same 40 modules after the change. Which
statistical test is most appropriate?
A. Simple Linear Regression
B. Chi-Square Test of Independence
C. Paired t-test
, D. One-Way Analysis of Variance (ANOVA)
Correct Answer: C. Paired t-test
Rationale: A paired t-test compares the means of two related or dependent
groups (the same software modules measured "before" and "after" an
operational intervention) to see if a statistically significant difference exists.
2. A regional manager tracks the monthly sales performance among four
different retail branch territories to determine if at least one layout territory is
performing differently than the others. Which statistical test should be
deployed?
A. Paired t-test
B. One-Way ANOVA
C. Simple Linear Regression
D. Chi-Square Test of Independence
Correct Answer: B. One-Way ANOVA
Rationale: Analysis of Variance (ANOVA) is used to compare and evaluate
the means of three or more independent groups to determine if at least one
group mean significantly differs from the others.
3. A marketing director compiles an annual report showing that a website's
total conversion rate increases linearly as the amount of money spent on social
media advertising increases. The correlation coefficient (r) between
advertising spend and conversion rate is calculated to be +0.88. How should
this relationship be interpreted?
, A. There is a weak positive linear relationship.
B. The relationship is perfect and directly causal.
C. There is a strong negative linear relationship.
D. There is a strong positive linear relationship.
Correct Answer: D. There is a strong positive linear relationship.
Rationale: Correlation coefficients (r) range from -1.00 to +1.00. A value of
+0.88 indicates a strong, positive linear relationship, meaning that as
advertising spend increases, conversion rates tend to increase significantly.
4. A university data analyst uses multiple regression analysis to predict
student freshman GPA based on high school GPA, SAT scores, and hours
spent in tutoring. The output provides a Coefficient of Determination (R²)
value of 0.74. What does this metric indicate to the analyst?
A. 74% of the variance in freshman GPA is explained by the independent
variables in the model.
B. The model is incorrect 26% of the time.
C. The correlation between high school GPA and SAT scores is exactly
0.74.
D. Every unit increase in SAT score results in a 0.74 increase in freshman
GPA.
Correct Answer: A. 74% of the variance in freshman GPA is explained
by the independent variables in the model.
, Rationale: The Coefficient of Determination (R²) measures the proportion of
variance in the dependent variable (freshman GPA) that can be explained by
the independent variables in the regression model.
5. During a retail inventory audit, an analyst notes that a small group of high-
end luxury items accounts for 80% of the total inventory costs, despite making
up only 20% of the physical item volume. Which business tool or principle is
this scenario demonstrating?
A. Six Sigma Black Belt Matrix
B. Pareto Principle (80/20 Rule)
C. Standard Deviation Spread
D. Linear Programming Boundary
Correct Answer: B. Pareto Principle (80/20 Rule)
Rationale: The Pareto Principle states that roughly 80% of consequences
come from 20% of causes. In inventory and quality control, a Pareto analysis
highlights the "vital few" items or problems that demand the most attention.
6. A financial analyst calculates the standard deviation of monthly returns for
two different investment portfolios over a 5-year period. Portfolio A has a
standard deviation of 2.5%, while Portfolio B has a standard deviation of
9.2%. What can the analyst conclude about Portfolio B?
A. Portfolio B has a much lower level of volatility than Portfolio A.
B. Portfolio B has a mean return that is four times higher than Portfolio A.
Data-Driven Decision Making | Practice Questions,
Answers & Rationales
Prepare for the WGU C207 Objective Assessment with this comprehensive
study guide featuring original practice questions, accurate answers, and
detailed rationales. Covers data-driven decision making, statistics,
probability, hypothesis testing, regression, data analysis, and business
analytics concepts. Perfect for focused review, self-assessment, and building
confidence before your WGU C207 exam.
1. An operations manager at a software company wants to test whether a
newly implemented coding framework has decreased the average
development time for new feature deployments. The manager collects
deployment duration data from 40 specific software modules before the
change and tracks those exact same 40 modules after the change. Which
statistical test is most appropriate?
A. Simple Linear Regression
B. Chi-Square Test of Independence
C. Paired t-test
, D. One-Way Analysis of Variance (ANOVA)
Correct Answer: C. Paired t-test
Rationale: A paired t-test compares the means of two related or dependent
groups (the same software modules measured "before" and "after" an
operational intervention) to see if a statistically significant difference exists.
2. A regional manager tracks the monthly sales performance among four
different retail branch territories to determine if at least one layout territory is
performing differently than the others. Which statistical test should be
deployed?
A. Paired t-test
B. One-Way ANOVA
C. Simple Linear Regression
D. Chi-Square Test of Independence
Correct Answer: B. One-Way ANOVA
Rationale: Analysis of Variance (ANOVA) is used to compare and evaluate
the means of three or more independent groups to determine if at least one
group mean significantly differs from the others.
3. A marketing director compiles an annual report showing that a website's
total conversion rate increases linearly as the amount of money spent on social
media advertising increases. The correlation coefficient (r) between
advertising spend and conversion rate is calculated to be +0.88. How should
this relationship be interpreted?
, A. There is a weak positive linear relationship.
B. The relationship is perfect and directly causal.
C. There is a strong negative linear relationship.
D. There is a strong positive linear relationship.
Correct Answer: D. There is a strong positive linear relationship.
Rationale: Correlation coefficients (r) range from -1.00 to +1.00. A value of
+0.88 indicates a strong, positive linear relationship, meaning that as
advertising spend increases, conversion rates tend to increase significantly.
4. A university data analyst uses multiple regression analysis to predict
student freshman GPA based on high school GPA, SAT scores, and hours
spent in tutoring. The output provides a Coefficient of Determination (R²)
value of 0.74. What does this metric indicate to the analyst?
A. 74% of the variance in freshman GPA is explained by the independent
variables in the model.
B. The model is incorrect 26% of the time.
C. The correlation between high school GPA and SAT scores is exactly
0.74.
D. Every unit increase in SAT score results in a 0.74 increase in freshman
GPA.
Correct Answer: A. 74% of the variance in freshman GPA is explained
by the independent variables in the model.
, Rationale: The Coefficient of Determination (R²) measures the proportion of
variance in the dependent variable (freshman GPA) that can be explained by
the independent variables in the regression model.
5. During a retail inventory audit, an analyst notes that a small group of high-
end luxury items accounts for 80% of the total inventory costs, despite making
up only 20% of the physical item volume. Which business tool or principle is
this scenario demonstrating?
A. Six Sigma Black Belt Matrix
B. Pareto Principle (80/20 Rule)
C. Standard Deviation Spread
D. Linear Programming Boundary
Correct Answer: B. Pareto Principle (80/20 Rule)
Rationale: The Pareto Principle states that roughly 80% of consequences
come from 20% of causes. In inventory and quality control, a Pareto analysis
highlights the "vital few" items or problems that demand the most attention.
6. A financial analyst calculates the standard deviation of monthly returns for
two different investment portfolios over a 5-year period. Portfolio A has a
standard deviation of 2.5%, while Portfolio B has a standard deviation of
9.2%. What can the analyst conclude about Portfolio B?
A. Portfolio B has a much lower level of volatility than Portfolio A.
B. Portfolio B has a mean return that is four times higher than Portfolio A.
