Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

The t-distribution is similar to the normal distribution, with its bell shape, but it has heavier tails. It is used for estimating population parameters for small sample sizes or unknown variances.

In the corresponding m–d plot, the differences corresponding to the lower percentiles are close to zero, showing no shift of the distribution ... distributions of a ‘normal’ and ...

The normal distribution is a continuous probability distribution that is symmetrical, bell-shaped, and centred around its mean. It is one of the most important distributions in statistics because many ...

We propose a new normal distribution, p(D) /spl prop/ exp(-1/2 D : A : D), which describes the variability of D in an ideal DT-MRI experiment. The scalar invariant, D : A : D, is the contraction of a ...

A python class for calculating the probability density function of a skewed normal distribution given its mode (i.e. location of the peak), standard deviation, and alpha (skewness parameter). This ...

In a right-skewed distribution, the mean will be larger than the median, and the standard deviation is not related to specific percentiles, as was the case for the normal distribution. Figure 2 A ...

The NWChem plane-wave (NWPW) module uses pseudopotentials and plane-wave basis sets to perform Density Functional Theory calculations (simple introduction pw-lecture.pdf). This module complements the ...