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WILKS SHAPIRO NORMALITY TESTName:
where the summation is from 1 to n and n is the number of
observations. The array X contains the original data,
X' are the ordered data,
M denotes the expected values of standard normal order statistics for a sample of size n and V is the corresponding covariance matrix. W may be thought of as the squared correlation coefficient between the ordered sample values (X') and the wi. The wi are approximately proportional to the normal scores Mi. W is a measure of the straightness of the normal probability plot, and small values indicate departures from normality. Note that the Dataplot PPCC PLOT command is based on a similar concept. Monte Carlo simulations studies have indicated that the Wilks-Shapiro test has good power properties for a wide range of alternative distributions.
where <y> is the response variable being tested; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
WILKS SHAPIRO NORMALITY TEST Y1 SUBSET TAG > 2
READ ZARR13.DAT Y WILKS SHAPIRO NORMALITY TEST Y The following outpout is generated:
WILKS SHAPIRO TEST FOR NORMALITY
1. STATISTICS:
NUMBER OF OBSERVATIONS = 195
LOCATION PARAMETER = 9.261460
SCALE PARAMETER = 0.2278881E-01
WILKS SHAPIRO TEST STATISTIC VALUE = 0.9982718
2. CRITICAL VALUES:
P-VALUE = 0.9992256
3. CONCLUSIONS:
AT THE 90% LEVEL, WE ACCEPT THE NORMALITY ASSUMPTION.
AT THE 95% LEVEL, WE ACCEPT THE NORMALITY ASSUMPTION.
AT THE 97.5% LEVEL, WE ACCEPT THE NORMALITY ASSUMPTION.
AT THE 99% LEVEL, WE ACCEPT THE NORMALITY ASSUMPTION.
Date created: 6/5/2001 |