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. Author manuscript; available in PMC: 2010 Jan 1.
Published in final edited form as: J Immunol Methods. 2008 Nov 4;340(1):65–80. doi: 10.1016/j.jim.2008.09.024

Table 5.

Illustrating the Kolmogorov-Smirnov test on distribution of computed measurements: The test analyzes the null hypothesis that two datasets are generated from the same distribution. Each entry in the table corresponds to the p value of the test performed on a pair of datasets. Entries depicted in grey indicate a failure to reject the null hypothesis at a significance level of 5%. The test results of datasets illustrated in Figure 9 are shown in bolded and underlined font, which agree with our visual observations. For convenience, P14+ and P14- refer to P14→B6 and P14→(DBA × B6), respectively.

P14+ P14+ P14+ P14+ P14+ P14+ P14- P14- P14-
wt 0.02 < 10-4 8.76×10-4 1.40×10-3 0.39 0.60 0.22 1.17×10-4 0.05
wt < 10-4 < 10-4 < 10-4 < 10-4 0.09 0.20 0.11 0.21 1.74×10-4
wt 0.06 < 10-4 2.30×10-3 0.01 0.16 0.77 0.05 < 10-4 0.31
wt < 10-4 < 10-4 < 10-4 < 10-4 < 10-4 < 10-4 < 10-4 < 10-4 < 10-4