Difference between Number Cruncher and Sample Distribution

NUMBER CRUNCHER vs SAMPLE DISTRIBUTION: NOUN

An accountant or other person who deals with the calculation of numbers as a profession.
A person who performs numerous calculations, especially an accountant.
A computer that is able to perform complex, lengthy calculations.
Someone able to perform complex and lengthy calculations
A computer capable of performing a large number of mathematical operations per second

Items selected at random from a population and used to test hypotheses about the population

Programmer, Investment banker, Econometrician, Actuary, Sabermetrician, Mathematician, Dealmaker, Accountant, Prognosticator, Pencil pusher, Spinmeister, Psephologist, Cruncher, Statistician, Wonk

Stylometry, Random variable, Random sample, Analysis of variance, Statistical, F distribution, Statistic, Distribution, Correlational analysis, Factor analysis, Parametric statistic, Nonparametric statistic, Poisson distribution, Binomial distribution, Sample

Boffin, Bureaucrat, Wheeler dealer, Programmer, Econometrician, Actuary, Sabermetrician, Mathematician, Accountant, Prognosticator, Pencil pusher, Spinmeister, Cruncher, Statistician, Wonk

Stylometry, Random variable, Random sample, Analysis of variance, Statistical, F distribution, Statistic, Distribution, Correlational analysis, Factor analysis, Parametric statistic, Nonparametric statistic, Poisson distribution, Binomial distribution, Sample

But I am a writer, not a number cruncher so any help would be eternally appreciated.
As a young number cruncher this is a worthy goal.

Notifying contributors at the time of sample distribution provides one form of communication to supplement broad consent.
Wilk test was used to assess whether the sample distribution was normal.
The large sample distribution of the likelihood ratio for testing composite hypothesis.
The mean of sample distribution refers to the mean of the whole population to which the selected sample belongs.
Table showing sample distribution according to plaque index before manual brushing.
Square goodness of fit test, the term goodness of fit is used to compare the observed sample distribution with the expected probability distribution.
Using the framework of estimators, the small sample distribution by simulations and exact distribution of the single equation estimators are reviewed.
Sample distribution agreement answer a few simple questions to make your distribution agreement in minutes make document.
It interconnects important elements of sample distribution including mean, standard deviation, sample size, variances and accuracy of point estimates.
IV products, intercompany distributions, distribution among hospitals under common control, public health emergencies, dispensed pursuant to a prescription, product sample distribution, charitable org