WGU C784 APPLIED HEALTHCARE
STATISTICS FINAL EXAM
1. A researcher measures the body temperature of 100 patients. What level of measurement
is being used?
A. Nominal
B. Interval
C. Ordinal
D. Ratio
Answer: B
Conceptual Explanation: Temperature in Celsius or Fahrenheit is interval data because it
has equal units of measurement but no true zero point (0 degrees does not mean absence
of heat).
2. In a dataset with a significant positive skew, which measure of central tendency will likely
be the largest?
A. Standard Deviation
B. Median
,C. Mode
D. Mean
Answer: D
Conceptual Explanation: In a positively skewed distribution, the mean is pulled toward
the tail, making it larger than the median and mode.
3. Which of the following represents the probability of rejecting a null hypothesis when it is
actually true?
A. Confidence Level
B. Type II Error
C. Statistical Power
D. Type I Error
Answer: D
Conceptual Explanation: A Type I error (Alpha) occurs when the null hypothesis is
rejected despite being true (a false positive).
4. A study reports a p-value of 0.02. Using a significance level of 0.05, what is the correct
conclusion?
A. Fail to reject the null hypothesis
B. The results are not statistically significant
C. Accept the null hypothesis
, D. Reject the null hypothesis
Answer: D
Conceptual Explanation: If the p-value is less than the alpha level (0.02 < 0.05), the
results are statistically significant, and the null hypothesis is rejected.
5. Which statistical test is most appropriate for comparing the mean blood pressure of the
same group of patients before and after a new medication?
A. Independent samples t-test
B. Paired samples t-test
C. One-way ANOVA
D. Chi-square test
Answer: B
Conceptual Explanation: A paired samples t-test is used when comparing means from the
same group at two different times (repeated measures).
6. What does the R-squared value in a linear regression model indicate?
A. The slope of the regression line
B. The strength and direction of a linear relationship
C. The proportion of variance in the dependent variable explained by the independent
variable
D. The probability that the relationship occurred by chance
STATISTICS FINAL EXAM
1. A researcher measures the body temperature of 100 patients. What level of measurement
is being used?
A. Nominal
B. Interval
C. Ordinal
D. Ratio
Answer: B
Conceptual Explanation: Temperature in Celsius or Fahrenheit is interval data because it
has equal units of measurement but no true zero point (0 degrees does not mean absence
of heat).
2. In a dataset with a significant positive skew, which measure of central tendency will likely
be the largest?
A. Standard Deviation
B. Median
,C. Mode
D. Mean
Answer: D
Conceptual Explanation: In a positively skewed distribution, the mean is pulled toward
the tail, making it larger than the median and mode.
3. Which of the following represents the probability of rejecting a null hypothesis when it is
actually true?
A. Confidence Level
B. Type II Error
C. Statistical Power
D. Type I Error
Answer: D
Conceptual Explanation: A Type I error (Alpha) occurs when the null hypothesis is
rejected despite being true (a false positive).
4. A study reports a p-value of 0.02. Using a significance level of 0.05, what is the correct
conclusion?
A. Fail to reject the null hypothesis
B. The results are not statistically significant
C. Accept the null hypothesis
, D. Reject the null hypothesis
Answer: D
Conceptual Explanation: If the p-value is less than the alpha level (0.02 < 0.05), the
results are statistically significant, and the null hypothesis is rejected.
5. Which statistical test is most appropriate for comparing the mean blood pressure of the
same group of patients before and after a new medication?
A. Independent samples t-test
B. Paired samples t-test
C. One-way ANOVA
D. Chi-square test
Answer: B
Conceptual Explanation: A paired samples t-test is used when comparing means from the
same group at two different times (repeated measures).
6. What does the R-squared value in a linear regression model indicate?
A. The slope of the regression line
B. The strength and direction of a linear relationship
C. The proportion of variance in the dependent variable explained by the independent
variable
D. The probability that the relationship occurred by chance
