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Star-shaped distributions are introduced in Section 2. A one sample non-standard scaling model for i.i.d.i.d
Normality of distributions was assessed using a one sample Kolmogorov-Smirnov test.
Data was examined for normal distribution with a one sample Kolmogorov Smirnov test.
Where appropriate, a one sample t test was used using a null hypothesis of 1.
A one sample t-test was applied to the log ratios accounting for dye-swapped slides.
In a one sample t-test, this mean was significantly different from 0 (p < 0.0001).
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The calculation was based on a one-sample t-test.
Based on these assumptions, the sample size for the study was computed using a one-sample population proportion formula.
A test for normality of distribution was done according to a one-sample Kolmogorov-Smirnov testing.
Normalized activity at single time-points was compared against 100% using a one-sample t-test.
Four test distributions, the Normal/Gaussian, Lognomal, Weibull, and Uniform, were tested using a one-sample Kolmogorov-Simirnov test.
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