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(WGU D784) MATH 1100 Applied Healthcare Statistics - OA Readiness Guide Q & S 2024 $11.49   Add to cart

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(WGU D784) MATH 1100 Applied Healthcare Statistics - OA Readiness Guide Q & S 2024

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(WGU D784) MATH 1100 Applied Healthcare Statistics - OA Readiness Guide Q & S 2024(WGU D784) MATH 1100 Applied Healthcare Statistics - OA Readiness Guide Q & S 2024(WGU D784) MATH 1100 Applied Healthcare Statistics - OA Readiness Guide Q & S 2024

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  • October 1, 2024
  • 17
  • 2024/2025
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C784 MATH 1100



Applied Healthcare Statistics




OA READINESS GUIDE
Q&S




©2024/2025

,1. Which of the following is an essential characteristic of a
well-designed clinical trial?
- A. Randomization
- B. Bias
- C. Small Sample Size
- D. Convenience Sampling
Answer: A. Randomization
Rationale: Randomization minimizes bias and ensures
that the treatment and control groups are comparable.

2. In a study measuring systolic blood pressure reduction
after treatment, the mean and standard deviation are
reported as 120 mmHg (± 15). What is the amount of
variability in blood pressure reduction?
- A. 120 mmHg
- B. 15 mmHg
- C. 180 mmHg
- D. 135 mmHg
Answer: B. 15 mmHg
Rationale: The standard deviation (± 15) indicates the
variability or spread of the data around the mean.

3. Which of the following statistical tests is appropriate for
comparing the means of two independent groups?
- A. Paired t-test
- B. ANOVA
- C. Independent t-test
- D. Chi-square test
Answer: C. Independent t-test
Rationale: The independent t-test is designed to
compare the means of two unrelated groups.

©2024/2025

, 4. What does a p-value of 0.05 signify in hypothesis
testing?
- A. The null hypothesis is true.
- B. There is a 5% chance the null hypothesis is correct.
- C. There is a 95% chance the results are not due to
random chance.
- D. The results are statistically significant.
Answer: D. The results are statistically significant.
Rationale: A p-value of 0.05 indicates that there is a
statistically significant difference, with a 5% chance of
erroneously rejecting the null hypothesis.

5. In a Kaplan-Meier survival analysis, what does the term
'censoring' refer to?
- A. The elimination of outliers
- B. The inclusion of patients who dropped out
- C. The removal of incomplete data
- D. The situation where the outcome event has not
occurred by the end of the study
Answer: D. The situation where the outcome event has
not occurred by the end of the study
Rationale: Censoring occurs when the event of interest
has not been observed for a participant by the end of the
study period.

### Fill-in-the-Blank Questions

6. The __________ is a measure of the central tendency
that is affected by extreme values in a dataset.
Answer: mean
Rationale: The mean can be skewed by outliers,
making it less representative of the data as a whole.

©2024/2025

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