Table 1.

Results of the tests of normality of the background noise as estimated by the exponential-normal convolution model.

Data Set	Test	Rejection Rate	Min P-valuea	Med P-value	Max P-value
HG-U95Av2	AD	962	0	0.0008	0.4738
	KS	796	0	0.0082	0.8261
	SW	999	0	0.0036	0.1186
HG-U133A	AD	850	0	0.0064	0.5915
	KS	594	0	0.0307	0.7700
	SW	962	0	0.0031	0.3010
GoldenSpike	AD	885	0	0.0035	0.3559
	KS	639	0	0.0259	0.7490
	SW	987	0	0.0016	0.1502

The rejection rates (number of p-values less than 0.05) are much higher than expected, indicating that the background noise is not likely to be normally distributed.

a P-values are not identically 0, but are 0 to at least five decimal places.

AD = Anderson-Darling test, KS = Kolmorgorov-Smirnov test, SW = Shapiro-Wilk test.