c(WGU C784) MATH 1100 Applied Healthcare Statistics - FA Readiness Guide Q & S 2024.(WGU C784) MATH 1100 Applied Healthcare Statistics - FA Readiness Guide Q & S 2024.(WGU C784) MATH 1100 Applied Healthcare Statistics - FA Readiness Guide Q & S 2024.
,1. What is the purpose of using stratified sampling in
healthcare research?
- A) To increase sample size
- B) To ensure that subgroups are adequately
represented
- C) To simplify analysis
- D) To ensure randomness
- Correct Answer: B
- Rationale: Stratified sampling ensures that different
subgroups (strata) in the population are represented in the
sample, thus enhancing the generalizability of the findings.
2. In a normally distributed dataset, what percentage of
data falls within one standard deviation of the mean?
- A) 50%
- B) 68%
- C) 95%
- D) 99%
- Correct Answer: B
- Rationale: Approximately 68% of the data in a normal
distribution falls within one standard deviation of the mean.
, 4. What type of statistical analysis would be appropriate
for examining the relationship between smoking status
(smoker/non-smoker) and lung cancer diagnosis (yes/no)?
- A) T-test
- B) Regression analysis
- C) Descriptive statistics
- D) Chi-square test
- Correct Answer: D
- Rationale: A Chi-square test is suitable for examining
the association between two categorical variables.
5. In regression analysis, what does the R-squared value
represent?
- A) The number of observations
- B) The strength and direction of the correlation
- C) The proportion of variance in the dependent variable
explained by the independent variable(s)
- D) The significance level of the model
- Correct Answer: C
- Rationale: R-squared indicates the proportion of
variance in the dependent variable that can be explained by
the independent variables in the model.
### Fill-in-the-Blank Questions
6. The ________ is a measure of central tendency that
can be skewed by extreme values in a dataset.
- Correct Answer: Mean
- Rationale: The mean can be greatly affected by
outliers, making it less representative of the central
tendency when data is skewed.
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