Analytical Methods of Healthcare Leaders - D514 Exam Questions With
Complete Solutions 2026!!!
1. ANOVA test analysis of variance used in research studies where there are two or
more groups to compare
2. Chi-square test determine if an association exists between two categorical variables
3. F-Test test if two population variances are equal. If the variances are equal the
ratio will be 1
4. interval data units of equal size. there is no zero point
5. multivariate regression used to analyze and adjust risk. Contrasts each measured factor to the
analyses patient's risk of a particular outcome
6. nominal data measured as a frequency or percentage. the mean cannot be calculated
7. ordinal data measured as a frequency and the mean can be calculated
8. parametric tests based on probability distributions
9. nonparametric tests Used when data are not normally distributed or do not meet other
criteria for parametric tests (e.g., discrete data). May also be used
for continuous data that do not meet the assumptions of the t-test or
ANOVA
10. Pearsons correlation determines the extent to which a change in one variable tends to be
associated with a change in another
11. t-test compare whether two groups have ditterent average values
12. confounding variable obscures the ettect of another variable
13. dichotomous variable binary variable
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Complete Solutions 2026!!!
1. ANOVA test analysis of variance used in research studies where there are two or
more groups to compare
2. Chi-square test determine if an association exists between two categorical variables
3. F-Test test if two population variances are equal. If the variances are equal the
ratio will be 1
4. interval data units of equal size. there is no zero point
5. multivariate regression used to analyze and adjust risk. Contrasts each measured factor to the
analyses patient's risk of a particular outcome
6. nominal data measured as a frequency or percentage. the mean cannot be calculated
7. ordinal data measured as a frequency and the mean can be calculated
8. parametric tests based on probability distributions
9. nonparametric tests Used when data are not normally distributed or do not meet other
criteria for parametric tests (e.g., discrete data). May also be used
for continuous data that do not meet the assumptions of the t-test or
ANOVA
10. Pearsons correlation determines the extent to which a change in one variable tends to be
associated with a change in another
11. t-test compare whether two groups have ditterent average values
12. confounding variable obscures the ettect of another variable
13. dichotomous variable binary variable
1/1
