HEALTHCARE LEADERS - D514
CORRECT 100%
ANOVA test - ANSWERanalysis of variance used in research studies where there
are two or more groups to compare
nonparametric tests - ANSWERUsed 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
Pearsons correlation - ANSWERdetermines the extent to which a change in one
variable tends to be associated with a change in another
t-test - ANSWERcompare whether two groups have different average values
confounding variable - ANSWERobscures the effect of another variable
dichotomous variable - ANSWERbinary variable
Chi-square test - ANSWERdetermine if an association exists between two
categorical variables
F-Test - ANSWERtest if two population variances are equal. If the variances are
equal the ratio will be 1
interval data - ANSWERunits of equal size. there is no zero point
multivariate regression analyses - ANSWERused to analyze and adjust risk.
Contrasts each measured factor to the patient's risk of a particular outcome
nominal data - ANSWERmeasured as a frequency or percentage. the mean cannot
be calculated
ordinal data - ANSWERmeasured as a frequency and the mean can be calculated
parametric tests - ANSWERbased on probability distributions