WGU C207 DATA-DRIVEN DECISION-
MAKING FINAL EXAM QUESTIONS
AND ANSWERS
1. A researcher is conducting a study where the null hypothesis states there is no difference
between two groups. If the p-value is calculated as 0.03 and the alpha level is 0.05, what
should the researcher do?
A. Fail to reject the null hypothesis
B. Accept the alternative hypothesis
C. Reject the null hypothesis
D. Increase the sample size
Answer: C
Conceptual Explanation: When the p-value is less than the significance level (alpha), the
result is statistically significant, leading to the rejection of the null hypothesis.
2. Which level of measurement is characterized by data that can be categorized and ranked,
but the differences between data points are not meaningful?
A. Nominal
,B. Ordinal
C. Interval
D. Ratio
Answer: B
Conceptual Explanation: Ordinal data allows for ranking or ordering, but does not
provide a precise measure of the distance between the ranks.
3. In the DMAIC process of Six Sigma, which phase focuses on identifying the root causes of
defects?
A. Define
B. Measure
C. Analyze
D. Improve
Answer: C
Conceptual Explanation: The Analyze phase is dedicated to determining the root causes
of the problem using data and statistical tools.
4. A company wants to predict sales based on advertising spend. Which statistical method is
most appropriate?
A. Standard Deviation
B. Linear Regression
, C. ANOVA
D. Chi-Square Test
Answer: B
Conceptual Explanation: Linear regression is used to model the relationship between a
dependent variable (sales) and one or more independent variables (advertising spend).
5. Which type of error occurs when a researcher rejects a null hypothesis that is actually true?
A. Type I Error
B. Type II Error
C. Sampling Error
D. Standard Error
Answer: A
Conceptual Explanation: A Type I error, also known as a ‘false positive,’ happens when
the null hypothesis is rejected even though it is correct.
6. A Z-score of +2.0 indicates that a data point is:
A. Two standard deviations above the mean
B. Two standard deviations below the mean
C. Two units above the mean
D. Twice the value of the median
MAKING FINAL EXAM QUESTIONS
AND ANSWERS
1. A researcher is conducting a study where the null hypothesis states there is no difference
between two groups. If the p-value is calculated as 0.03 and the alpha level is 0.05, what
should the researcher do?
A. Fail to reject the null hypothesis
B. Accept the alternative hypothesis
C. Reject the null hypothesis
D. Increase the sample size
Answer: C
Conceptual Explanation: When the p-value is less than the significance level (alpha), the
result is statistically significant, leading to the rejection of the null hypothesis.
2. Which level of measurement is characterized by data that can be categorized and ranked,
but the differences between data points are not meaningful?
A. Nominal
,B. Ordinal
C. Interval
D. Ratio
Answer: B
Conceptual Explanation: Ordinal data allows for ranking or ordering, but does not
provide a precise measure of the distance between the ranks.
3. In the DMAIC process of Six Sigma, which phase focuses on identifying the root causes of
defects?
A. Define
B. Measure
C. Analyze
D. Improve
Answer: C
Conceptual Explanation: The Analyze phase is dedicated to determining the root causes
of the problem using data and statistical tools.
4. A company wants to predict sales based on advertising spend. Which statistical method is
most appropriate?
A. Standard Deviation
B. Linear Regression
, C. ANOVA
D. Chi-Square Test
Answer: B
Conceptual Explanation: Linear regression is used to model the relationship between a
dependent variable (sales) and one or more independent variables (advertising spend).
5. Which type of error occurs when a researcher rejects a null hypothesis that is actually true?
A. Type I Error
B. Type II Error
C. Sampling Error
D. Standard Error
Answer: A
Conceptual Explanation: A Type I error, also known as a ‘false positive,’ happens when
the null hypothesis is rejected even though it is correct.
6. A Z-score of +2.0 indicates that a data point is:
A. Two standard deviations above the mean
B. Two standard deviations below the mean
C. Two units above the mean
D. Twice the value of the median
