Central Limit Theorem & Shiny

• https://arseny.shinyapps.io/DDP_CourseProject/

• a simple demo of Central Limit Theorem in action

• it aims to illustrate that with increasing sample size the distribution of sample means approximates normal:

  • visually (histogram / QQ-plot)
  • formally (Shapiro-Wilk normality test)

    Shapiro-Wilk normality test

data:  x
W = 0.99806, p-value = 0.3101

• formal test of data normality [Wikipedia]
• high p-value indicates we can not reject null hypothesis “observed values come from a normal distribution”