PRB-29

Uniform entropy

Discrete uniform entropy.

Reading speed

GoverningUniform entropy

Governing equation

H=\\log_2 n

where

n: n (—)
H: Uniform entropy (bit)

Lecture brief

Historical brief

Bernoulli trials, Poisson, Gauss, Bayes and Shannon entropy turned chance into a calculus of belief and noise. The lab computes likelihood, interval and information in SI-free counts. This sheet (PRB-29 — Uniform entropy) is the form associated with Uniform entropy. Working symbols: $n$ $\rightarrow$ $H$ . Discrete uniform entropy. Pedagogical SI sheet with a live model and a swept parameter.

Purpose

Purpose: compute

H

from

n

in Probability & statistics via

H=\\log_2 n

Discrete uniform entropy. Use it when a real probability & statistics question must be answered in SI before a code check.

Live realistic example

In symbols

Live case. Given

n = 8.000\,\mathrm{—}

, the governing relation

H=\\log_2 n

yields

H = 3.000\,\mathrm{bit}

. One governing identity, SI units, a single sweep on the sheet. Move a slider: the numbers are this situation, not a canned story.

Calculator

Inputs

n n8 —

Outputs

Uniform entropy H3.000 bit

Reading speed

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Narration of this film

One governing identity, SI units, a single sweep on the sheet.

Discrete uniform entropy. Pedagogical SI sheet with a live model and a swept parameter.

Reading speed

Watch on YouTube