Calculates Watson's non-parametric two sample U2 statistic
for circular-normal data.
Watson's non-parametric two sample U2 statistic provides
a criteria to test whether 2 samples differ significantly from each other.
The test is robust. The difference is not specified; it may be in the mean,
the angular variance, or something else.
Data should be two independent random samples of circular observations drawn from populations with a continuous distribution. Data should not be grouped, or if it must be grouped, class intervals should be no larger than 5 degrees. For large samples of grouped data (where there are likely to be many ties), the test may not be applicable. U2=Watson's U2 test statistic;
Null hypothesis Ho: The two samples belong to the same
parent population.
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All Macintoshes. System 7.x and MacOS-8 & 9 compatible.
Price: $75 US.
NOTE: This test is included as a function in VectorRose 3.0
Pierre A. Zippi
7518 Twin Oaks Court
Garland, Texas 75044
email: paz@pazsoftware.com
See also, VectorRose 3.0 calculates circular-normal statistics and creates several types of vector diagrams.
Go to: PAZ Software Homepage