WGU C207 DATA-DRIVEN DECISION-
MAKING PRACTICE EXAM (LATEST
2026/2027 UPDATE)
1. A researcher measures the weight of products in a factory. The weights are 10.5kg, 10.2kg,
and 10.8kg. Which level of measurement is being used?
A. Nominal
B. Ordinal
C. Ratio
D. Interval
Answer: C
Conceptual Explanation: Ratio data has a true zero point and allows for comparisons of
magnitude, which applies to physical weights.
2. In a normal distribution, approximately what percentage of data falls within two standard
deviations of the mean?
A. 68%
B. 95%
C. 99.7%
,D. 50%
Answer: B
Conceptual Explanation: The empirical rule states that 95% of data in a normal
distribution falls within two standard deviations.
3. A p-value of 0.03 is calculated for a hypothesis test with a significance level (alpha) of 0.05.
What is the correct decision?
A. Accept the null hypothesis
B. Fail to reject the null hypothesis
C. Reject the null hypothesis
D. Increase the sample size
Answer: C
Conceptual Explanation: Since the p-value (0.03) is less than the alpha (0.05), we reject
the null hypothesis as the result is statistically significant.
4. Which type of analysis would a manager use to determine the relationship between
advertising spend and total sales revenue?
A. Time series analysis
B. Cluster analysis
C. Regression analysis
D. T-test
, Answer: C
Conceptual Explanation: Regression analysis is used to model the relationship between a
dependent variable (sales) and one or more independent variables (advertising).
5. What is the primary purpose of the ‘Balanced Scorecard’ in an organization?
A. To calculate the annual budget
B. To predict stock market trends
C. To automate the payroll system
D. To track financial and non-financial performance metrics
Answer: D
Conceptual Explanation: The Balanced Scorecard provides a holistic view of performance
by looking at financial, customer, internal process, and learning/growth perspectives.
6. In linear regression, what does the R-squared value indicate?
A. The slope of the regression line
B. The proportion of variance in the dependent variable explained by the independent
variable
C. The probability that the null hypothesis is true
D. The standard error of the estimate
Answer: B
MAKING PRACTICE EXAM (LATEST
2026/2027 UPDATE)
1. A researcher measures the weight of products in a factory. The weights are 10.5kg, 10.2kg,
and 10.8kg. Which level of measurement is being used?
A. Nominal
B. Ordinal
C. Ratio
D. Interval
Answer: C
Conceptual Explanation: Ratio data has a true zero point and allows for comparisons of
magnitude, which applies to physical weights.
2. In a normal distribution, approximately what percentage of data falls within two standard
deviations of the mean?
A. 68%
B. 95%
C. 99.7%
,D. 50%
Answer: B
Conceptual Explanation: The empirical rule states that 95% of data in a normal
distribution falls within two standard deviations.
3. A p-value of 0.03 is calculated for a hypothesis test with a significance level (alpha) of 0.05.
What is the correct decision?
A. Accept the null hypothesis
B. Fail to reject the null hypothesis
C. Reject the null hypothesis
D. Increase the sample size
Answer: C
Conceptual Explanation: Since the p-value (0.03) is less than the alpha (0.05), we reject
the null hypothesis as the result is statistically significant.
4. Which type of analysis would a manager use to determine the relationship between
advertising spend and total sales revenue?
A. Time series analysis
B. Cluster analysis
C. Regression analysis
D. T-test
, Answer: C
Conceptual Explanation: Regression analysis is used to model the relationship between a
dependent variable (sales) and one or more independent variables (advertising).
5. What is the primary purpose of the ‘Balanced Scorecard’ in an organization?
A. To calculate the annual budget
B. To predict stock market trends
C. To automate the payroll system
D. To track financial and non-financial performance metrics
Answer: D
Conceptual Explanation: The Balanced Scorecard provides a holistic view of performance
by looking at financial, customer, internal process, and learning/growth perspectives.
6. In linear regression, what does the R-squared value indicate?
A. The slope of the regression line
B. The proportion of variance in the dependent variable explained by the independent
variable
C. The probability that the null hypothesis is true
D. The standard error of the estimate
Answer: B
