Biostat Chapter 12-13 Flashcards
ANOVA
one-way analysis of variance
one-way because 1 explanatory variable is considered
It is “analysis of variance” because variation in the response is analyzed as a way of gaining insight into group differences.
ANOVA works by dividing variance in a data set into these two components:
“Variance Between Groups” aka “Mean Square Between”
“Variance within Groups” aka “Mean Square Within”
Mean Square Between (MSB)
quantifies the variance of group means around the grand mean. This is an estimate of “Variance Between Groups”
Mean Square Within (MSW)
quantifies the variability of data points in a group around its mean. This is the estimate of the “Variance Within Groups”
F-statistic
the ratio of the MSB and MSW. A large Fstat suggests that the observed mean differences are not merely due to random noise
Fstat = MSB
————
MSW
Single Samples
reflect the experience of a single group. No concurrent control group is present, but results may be compared to previously established norms or expected values.
Paired Samples
use data from two samples. each data point in the first sample is uniquely matched to a data point in the second sample.
Independent Samples
data points in two samples are unrelated