WGU C207 DATA-DRIVEN DECISION
MAKING MASTER EXAM QUESTIONS
AND ANSWERS
1. A researcher conducts a study and finds a p-value of 0.02. If the significance level (alpha) is
set at 0.05, which of the following is the correct action?
A. Increase the sample size and re-test
B. Fail to reject the null hypothesis
C. Accept the null hypothesis
D. Reject the null hypothesis
Answer: D
Conceptual Explanation: A p-value (0.02) less than the alpha level (0.05) indicates that
the result is statistically significant, leading to the rejection of the null hypothesis.
2. Which measure of central tendency is most affected by extreme outliers in a dataset?
A. Median
B. Mode
C. Range
,D. Mean
Answer: D
Conceptual Explanation: The mean is calculated by summing all values and dividing by
the count, making it highly sensitive to extreme values or outliers.
3. In a normal distribution, what percentage of data falls within two standard deviations of
the mean?
A. 95%
B. 68%
C. 99.7%
D. 50%
Answer: A
Conceptual Explanation: According to the Empirical Rule (68-95-99.7), approximately
95% of data in a normal distribution falls within two standard deviations of the mean.
4. What does a Z-score of +1.5 indicate about a specific data point?
A. The value is 1.5 units above the mean
B. The value is 1.5 standard deviations above the mean
C. The value is 1.5% higher than the average
D. The value is 1.5 times the median
, Answer: B
Conceptual Explanation: A Z-score represents the number of standard deviations a data
point is from the mean.
5. Which type of error occurs when a researcher rejects a null hypothesis that is actually true?
A. Standard error
B. Type II error
C. Sampling error
D. Type I error
Answer: D
Conceptual Explanation: A Type I error is a ‘false positive,’ where the null hypothesis is
rejected despite being true.
6. A correlation coefficient (r) of -0.85 indicates what type of relationship?
A. Weak negative relationship
B. Strong negative relationship
C. Strong positive relationship
D. No relationship
Answer: B
MAKING MASTER EXAM QUESTIONS
AND ANSWERS
1. A researcher conducts a study and finds a p-value of 0.02. If the significance level (alpha) is
set at 0.05, which of the following is the correct action?
A. Increase the sample size and re-test
B. Fail to reject the null hypothesis
C. Accept the null hypothesis
D. Reject the null hypothesis
Answer: D
Conceptual Explanation: A p-value (0.02) less than the alpha level (0.05) indicates that
the result is statistically significant, leading to the rejection of the null hypothesis.
2. Which measure of central tendency is most affected by extreme outliers in a dataset?
A. Median
B. Mode
C. Range
,D. Mean
Answer: D
Conceptual Explanation: The mean is calculated by summing all values and dividing by
the count, making it highly sensitive to extreme values or outliers.
3. In a normal distribution, what percentage of data falls within two standard deviations of
the mean?
A. 95%
B. 68%
C. 99.7%
D. 50%
Answer: A
Conceptual Explanation: According to the Empirical Rule (68-95-99.7), approximately
95% of data in a normal distribution falls within two standard deviations of the mean.
4. What does a Z-score of +1.5 indicate about a specific data point?
A. The value is 1.5 units above the mean
B. The value is 1.5 standard deviations above the mean
C. The value is 1.5% higher than the average
D. The value is 1.5 times the median
, Answer: B
Conceptual Explanation: A Z-score represents the number of standard deviations a data
point is from the mean.
5. Which type of error occurs when a researcher rejects a null hypothesis that is actually true?
A. Standard error
B. Type II error
C. Sampling error
D. Type I error
Answer: D
Conceptual Explanation: A Type I error is a ‘false positive,’ where the null hypothesis is
rejected despite being true.
6. A correlation coefficient (r) of -0.85 indicates what type of relationship?
A. Weak negative relationship
B. Strong negative relationship
C. Strong positive relationship
D. No relationship
Answer: B
