C785 Applied Healthcare Statistics Final Exam Practice 2026 |WGU
1. Which level of measurement categorizes data into mutually exclusive groups
with no inherent order?
A. Nominal
B. Interval
C. Ordinal
D. Ratio
Answer: A
Rationale: Nominal data consists of names, labels, or categories that cannot be arranged in
an ordering scheme.
2. A researcher measures the weight of patients in kilograms. Which level of
measurement is this?
A. Nominal
B. Ratio
C. Ordinal
D. Interval
Answer: B
Rationale: Weight has a true zero point (0 kg means no weight), making it ratio-level data.
,3. What is the median of the following dataset: 5, 12, 7, 14, 9?
A. 7
B. 9.4
C. 12
D. 9
Answer: D
Rationale: To find the median, order the data: 5, 7, 9, 12, 14. The middle value is 9.
4. Which measure of central tendency is most affected by extreme outliers?
A. Range
B. Median
C. Mode
D. Mean
Answer: D
Rationale: The mean uses every value in the dataset, so very large or very small values pull
the average toward them.
5. In a normal distribution, what percentage of data falls within one standard
deviation of the mean?
A. 68%
B. 50%
C. 95%
D. 99.7%
Answer: A
Rationale: According to the Empirical Rule, approximately 68% of data in a normal
distribution falls within one standard deviation.
, 6. If a study has a p-value of 0.02 and the alpha level is 0.05, what should the
researcher do?
A. Fail to reject the null hypothesis
B. Reject the null hypothesis
C. Accept the null hypothesis
D. Change the alpha level
Answer: B
Rationale: If the p-value is less than the significance level (alpha), the results are
statistically significant, and the null hypothesis is rejected.
7. Which of the following describes a Type I error?
A. Rejecting a true null hypothesis
B. Failing to reject a false null hypothesis
C. Rejecting a false null hypothesis
D. Accepting a false alternative hypothesis
Answer: A
Rationale: A Type I error occurs when we conclude there is an effect (rejecting the null)
when there actually is not one.
8. A correlation coefficient of -0.85 indicates:
A. A strong negative relationship
B. A weak negative relationship
C. A weak positive relationship
D. No relationship
Answer: A
Rationale: Correlation coefficients range from -1 to 1; values close to -1 indicate a strong
negative linear relationship.
1. Which level of measurement categorizes data into mutually exclusive groups
with no inherent order?
A. Nominal
B. Interval
C. Ordinal
D. Ratio
Answer: A
Rationale: Nominal data consists of names, labels, or categories that cannot be arranged in
an ordering scheme.
2. A researcher measures the weight of patients in kilograms. Which level of
measurement is this?
A. Nominal
B. Ratio
C. Ordinal
D. Interval
Answer: B
Rationale: Weight has a true zero point (0 kg means no weight), making it ratio-level data.
,3. What is the median of the following dataset: 5, 12, 7, 14, 9?
A. 7
B. 9.4
C. 12
D. 9
Answer: D
Rationale: To find the median, order the data: 5, 7, 9, 12, 14. The middle value is 9.
4. Which measure of central tendency is most affected by extreme outliers?
A. Range
B. Median
C. Mode
D. Mean
Answer: D
Rationale: The mean uses every value in the dataset, so very large or very small values pull
the average toward them.
5. In a normal distribution, what percentage of data falls within one standard
deviation of the mean?
A. 68%
B. 50%
C. 95%
D. 99.7%
Answer: A
Rationale: According to the Empirical Rule, approximately 68% of data in a normal
distribution falls within one standard deviation.
, 6. If a study has a p-value of 0.02 and the alpha level is 0.05, what should the
researcher do?
A. Fail to reject the null hypothesis
B. Reject the null hypothesis
C. Accept the null hypothesis
D. Change the alpha level
Answer: B
Rationale: If the p-value is less than the significance level (alpha), the results are
statistically significant, and the null hypothesis is rejected.
7. Which of the following describes a Type I error?
A. Rejecting a true null hypothesis
B. Failing to reject a false null hypothesis
C. Rejecting a false null hypothesis
D. Accepting a false alternative hypothesis
Answer: A
Rationale: A Type I error occurs when we conclude there is an effect (rejecting the null)
when there actually is not one.
8. A correlation coefficient of -0.85 indicates:
A. A strong negative relationship
B. A weak negative relationship
C. A weak positive relationship
D. No relationship
Answer: A
Rationale: Correlation coefficients range from -1 to 1; values close to -1 indicate a strong
negative linear relationship.
