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Therefore, conventional statistical practice for comparing continuous outcomes from two independent samples is to use a pretest for normality (H0: "The true distribution is normal" against H1: "The true distribution is non-normal") at significance level α pre before testing the main hypothesis.
The time distribution is unimodal and normal (Shapiro Wilk test of normality, p value = 0.07, H0: the distribution is normal).
Using a normality test is the best way to check whether the distribution is normal or not.
The default distribution is normal with mean = 0 and standard deviation = 1.
If α=0 then the distribution is normal.
If the underlying error distribution is normal, this plot will resemble a straight line.
Similar(20)
The age distribution was normal.
For the remaining data, the distribution was normal and ANOVA test was used.
For the remaining data, whose distribution was normal, one-way ANOVA followed by complementary Tukey tests was used.
After those procedures, Kolmogorov-Smirnov tests were conducted on LDT's reaction time data and their distribution was normal.
Although the precise age distribution varied by case (see Fig. 3), the overall distribution was normal with a modal age of 14 years (see Fig. 4).
More suggestions(15)
supply is normal
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