The phrase "distributed normal distribution" is correct and can be used in written English.
It is used to describe a type of probability distribution in statistics or mathematics. For example, "The sample data had a distributed normal distribution, with most values centered around the mean."
With the exception of number of breastfeeds per 24 hours and number of breastfeeds during the nighttime, all continuous variables were deemed normally distributed (normal distribution in the two non-parametric variables was also rejected using the Kolmogorov-Smirnov 1-sample test)[ 19].
If the disturbance in (1) is assumed to be independently and identically distributed (normal distribution) then a probit model can be specified for maximum likelihood estimation of the parameters βj1, the probability that a woman chooses to abort, Pi, is P i = Prob y i = 1 = Prob u i > − w i = F w i (4).
This smoothed adjusted log-ratio demonstrated a distribution that highly resembled what would be expected for an independent and identically distributed normal distribution (Additional File 1 panel C), thus facilitating straight-forward statistical inference.
They also provided probabilistic guarantees on the feasibility of an optimal robust solution when the uncertain coefficients obey independent and identically distributed normal distributions.
Statistical analysis was performed using the one-way ANOVA test (two tailed), as appropriate for normally distributed data (normal distribution was tested using χ goodness of fit).
Next, they are CP recovered and receive a normalized CMI value of 1 ± a randomly distributed factor (normal distribution with variance 0.1 as suggested by Terada et al. (1994)).
Data were first analysed for normal distribution; normally distributed data were analysed by one-way ANOVA and then treatment groups were compared using TUKEY post hoc analysis.
The VascuQol Total score, the VascuQol domains Activity, Symptoms, Pain, Emotional and Social, and the ALDS were all normally distributed (histograms showed normal distribution and Kolmogorov-Smirnov test p-values > 0.10).
A Shapiro-Wilk test demonstrates that the data points in Fig. 1c are not normally distributed, but a normal distribution is assumed by the t-test used here; the data should therefore have been analysed using a non-parametric test, such as the Mann–Whitney U test.
where n ω denotes the noise of the beat interval distributed with a normal distribution and n θ denotes the one of the bar-position distributed with a von Mises distribution.
This parameter was assumed to be randomly distributed from a normal distribution.
