Basic Analysis and Graphing - SAS

Chapter 5 Performing Oneway Analysis 155
Nonparametric
Table 5.15 Description of the Kolmogorov-Smirnov Test (Continued)
KS
KSa
D=max|F1-F2|
Prob > D
D+=max(F1-F2)
Prob > D+
D-=max(F2-F1)
Prob > D-
A Kolmogorov-Smirnov statistic.
An asymptotic Kolmogorov-Smirnov statistic.
Lists the maximum absolute deviation between the EDF of two class levels.
Lists the p-value for the test. In other words, the probability that D is greater
than the observed value d, under the null hypothesis of no difference
between class levels or samples.
Lists a one-sided test statistic that max deviation between the EDF of two
class levels is positive.
Lists the probability that D+ is greater than the observed value d+, under the
null hypothesis of no difference between the two class levels.
Lists a one-sided test statistic that max deviation between the EDF of two
class levels is negative.
Lists the probability that D- is greater than the observed value for d-.
Table 5.16 Descriptions of the Nonparametric Multiple Comparisons Tests
q* Gives the quantile value used in the confidence intervals.
Alpha
Level
Score Mean Diff
Std Err Dif
Z
Gives the alpha level used in the confidence intervals
Gives the pair used in the current comparison
Gives the difference of the score means.
Gives the standard error of the difference between the score means.
Gives the standardized test statistic, which has an asymptotic standard
normal deviation under the null hypothesis.
p-Value Gives the asymptotic two-sided p-value for Z.
Hodges-Lehmann
Lower CL
Upper CL
Gives the Hodges-Lehmann estimator of location shift. It is the median of
all paired differences between observations in the two samples.
Gives the lower confidence limit for the Hodges-Lehmann statistic.
Gives the upper confidence limit for the Hodges-Lehmann statistic.