Distribution

Distribution means something is being separated evenly. This involves distributing either a number or a variable out evenly in math. A pair of parentheses usually signals that something is to be distributed.

Distribution menu

Press SHIFT 3 to open the distribution menu

Example

Example Normal Distribution CDF

Syntax: normalcdf(lower bound, upper bound, mean, standard deviation)

Inputs:

lower bound        =  65
upper bound        =  80
mean               =  70
standard deviation = 4.5

1. Press SHIFT 3 to open the distribution menu

   

2. Fill all normalcdf arguments: normalcdf(65,80,70,4.5)

   

Supported functions

There are some builtin distribution functions, pressing the ℹ️ icon will show more information about a function.

• normalpdf: normal probability density function
• normalcdf: normal cumulative distribution function
• invNorm: Inverse cumulative normal distribution
• invT: Inverse cumulative Student-t distribution
• tpdf: Student-t probability density
• tcdf: Student-t distribution probability
• chi2pdf: Chi-square probability density
• chi2cdf: Chi-square distribution probability
• Fpdf: F probability density
• Fcdf: F distribution probability
• binompdf: Binomial probability
• binomcdf: Binomial cumulative density
• poissonpdf: Poisson probability
• poissoncdf: Poisson cumulative density
• geometpdf: Geometric probability
• geometcdf: Geometric cumulative density