You contribute to the reference sheet here: https://github.com/tomroh/pe_ise_prep. Systems Definition, Analysis, and Design System Analysis and Design Tools Cause-Effect Diagram (Fishbone) Pareto Analysis 80% of the items represent 20% of the sales or 20% of the items represent 80% of the cost. This law is a rule of ...

Fixed appearance of plots Added plot_density function for comparison pdfs of fitted functions Updated argument naming conventions fitur on CRAN Density Diagnostic Plot

library(fitur)
library(ggplot2)
library(trstyles)
set.seed(37)
x <- rgamma(10000, 5)
dists <- c('gamma', 'lnorm', 'weibull')
fits <- lapply(dists, fit_univariate, x = x)
theme_set(theme_tr())
plot_density(x, fits, nbins = 20)

QQ-Plot The output is a ggplot object so you can add colors, styling, etc.

plot_pp(x, fits) +
  scale_color_tr()

PP-Plot You can also zoom in on different areas.

plot_qq(x, fits) +
  scale_color_tr() +
  coord_cartesian(xlim = c(5,10))

\(\text{Normal Distribution}\) Table 2: Cumulative Probabilities of the Standard Normal Distribution, \(X \sim N(0,1)\) z 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.5000 0.5040 0.5080 0.5120 0.5160 ...

I’ve recently been studing for a professional exam that does not allow computers or advanced calculators. Some of the subject matter will require use of a few statistical distributions which can be very time-consuming to calculate manually. In lieu of access to statistical functions, you are allowed to bring ...

Queueing theory has some commonly accepted shorthand to describe characteristics of queuing models. Although across books and peer reviewed articles you will see slight variations, this post outlines commonly accepted terms for reference. Kendall’s Notation Kendall’s notation was proposed as a standard for describing queueing models. You may ...