WGU C207 DATA-DRIVEN DECISION-
MAKING EXAM PREP QUESTIONS AND
ANSWERS
1. A researcher is analyzing house prices in a city. If the data is measured in dollars, 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 allow for comparisons of
magnitude; money is a classic example of ratio data.
2. In a normal distribution, what percentage of data points fall within two standard
deviations of the mean?
A. 68.2%
B. 50.0%
,C. 99.7%
D. 95.4%
Answer: D
Conceptual Explanation: The empirical rule states that approximately 95% (specifically
95.4%) of data falls within two standard deviations in a bell-shaped curve.
3. Which of the following occurs when a researcher fails to reject a null hypothesis that is
actually false?
A. Type II Error
B. Type I Error
C. Confidence Interval Error
D. Sampling Bias
Answer: A
Conceptual Explanation: A Type II error is a ‘false negative,’ where the null hypothesis is
not rejected despite the alternative hypothesis being true.
4. A correlation coefficient (r) of -0.85 indicates which of the following?
A. A weak positive relationship
B. A strong negative relationship
C. No relationship
, D. A weak negative relationship
Answer: B
Conceptual Explanation: Values closer to -1 or 1 indicate strong relationships. -0.85 is a
strong negative correlation.
5. What is the primary purpose of a Control Chart in statistical process control?
A. To identify the root cause of a problem
B. To predict future sales volume
C. To rank problems by frequency
D. To distinguish between common cause and assignable cause variation
Answer: D
Conceptual Explanation: Control charts monitor process stability and help distinguish
natural variation from variation caused by specific, identifiable factors.
6. In a linear regression model, what does the R-squared (R2) value represent?
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 average error of the prediction
MAKING EXAM PREP QUESTIONS AND
ANSWERS
1. A researcher is analyzing house prices in a city. If the data is measured in dollars, 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 allow for comparisons of
magnitude; money is a classic example of ratio data.
2. In a normal distribution, what percentage of data points fall within two standard
deviations of the mean?
A. 68.2%
B. 50.0%
,C. 99.7%
D. 95.4%
Answer: D
Conceptual Explanation: The empirical rule states that approximately 95% (specifically
95.4%) of data falls within two standard deviations in a bell-shaped curve.
3. Which of the following occurs when a researcher fails to reject a null hypothesis that is
actually false?
A. Type II Error
B. Type I Error
C. Confidence Interval Error
D. Sampling Bias
Answer: A
Conceptual Explanation: A Type II error is a ‘false negative,’ where the null hypothesis is
not rejected despite the alternative hypothesis being true.
4. A correlation coefficient (r) of -0.85 indicates which of the following?
A. A weak positive relationship
B. A strong negative relationship
C. No relationship
, D. A weak negative relationship
Answer: B
Conceptual Explanation: Values closer to -1 or 1 indicate strong relationships. -0.85 is a
strong negative correlation.
5. What is the primary purpose of a Control Chart in statistical process control?
A. To identify the root cause of a problem
B. To predict future sales volume
C. To rank problems by frequency
D. To distinguish between common cause and assignable cause variation
Answer: D
Conceptual Explanation: Control charts monitor process stability and help distinguish
natural variation from variation caused by specific, identifiable factors.
6. In a linear regression model, what does the R-squared (R2) value represent?
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 average error of the prediction
