// multi-utility computation suite · offline · instant · precise
┌──────────────────────────┐
│ [c] calcalyst_ │
│ computation suite │
└──────────────────────────┘
// select a module to initialize
/ search↵ open firstesc close
// adsenseEMPTY_LEADER_SLOT728×90
// adsenseMOBILE_ANCHOR_SLOT320×50
// keyboard_shortcuts
/focus search
↑↓navigate module list
Enter
open first result from search
open highlighted
compute when module is open
compute when focused in a field
Escclose module · clear selection
⌫
math.stats-poisson Calculator
Calculates Poisson probabilities for rare event counts at a given average rate λ, with cumulative and complementary probabilities. The Poisson distribution models events that occur at a constant average rate — call arrivals, radioactive decays, web requests.
Inputs
Lambda
Arithmetic average. Sensitive to outliers — if your data has extreme values, the median may be more representative.
K
Reference formula or conversion factor shown for context.
Results
P(X=k)
Reference formula or conversion factor shown for context.
mean \u03bb
Arithmetic average — sum divided by count. Simple and familiar, but pulled by outliers. If your data contains extreme values, the median may be more representative.
variance \u03bb
Standard deviation squared — average squared deviation from the mean. Essential for ANOVA, regression, and many statistical tests, though the squared units make it less intuitive directly.
std dev
Standard deviation -- the average spread of values around the mean. In a normal distribution: 68% within 1 SD, 95% within 2 SD.
risk rating
A standardised quality or risk rating on the applicable scale.