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The phrase "for normally distributed" is correct and usable in written English.
It can be used to describe a distribution of data that follows an approximate bell-curve shape. For example, in statistics, "the results were normally distributed with a mean of 4 and a standard deviation of 0.5."
Exact(60)
Therefore, paired t tests were used for normally distributed data.
Results are expressed as mean (SD) for normally distributed data.
For normally distributed data, a Pearson correlation was used.
One-way ANOVA was calculated for normally distributed data.
Arithmetic means with their standard deviation (SD) were computed for normally distributed variables.
For normally distributed data, significance was assessed with the Student t-test.
Differences between groups for normally distributed variables were tested using t-test (analysis of variance).
for normally distributed data.
ANOVA was utilized for normally distributed data.
at-test for normally distributed variables.
For normally distributed RT-PCR data, we used ANOVA analysis.
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