Geometric Probability

When outcomes cannot be counted, probability becomes a ratio of measures. Favorable over total — applied to length, area, time and volume, with the pi cancelling whenever circles are involved.

--

When outcomes cannot be counted one by one — a dart landing anywhere on a board, a train arriving at any moment — probability comes from a measure instead. Geometric probability is the favorable measure divided by the total measure.

Definition Part over whole

The same idea covers any continuous measure — you just divide the part you want by the whole:

Lengths: favorable length ÷ total length.
Areas: favorable area ÷ total area.
Times: favorable time ÷ total time.
Volumes: favorable volume ÷ total volume.

It assumes a uniform distribution — every point is equally likely.

Example A dart on a target
R r P = r² ÷ R² = 16%

The board has radius ; the target has radius . The cancels:

.
⟹ P = 16%.
Example Three more

Waiting for a train (time)

A train comes every 20 minutes; a wait of up to 5 minutes is fine.
.
⟹ P = 25%.

A pond in a garden (area)

A 300 × 200 garden holds a circular pond of radius 50.
.
⟹ P ≈ 13.09%.

Four circles on a square board (area)

A square of side 20 cm holds four circles of radius 3 cm.
.
⟹ P ≈ 28.3%.
Reference Four kinds of measure
Type Formula Example
Areas area ÷ total area a circle inside a rectangle
Lengths length ÷ total length a point on a segment
Times time ÷ total time train timetables
Volumes volume ÷ total volume a ball inside a box
Summary
  1. Geometric probability applies to continuous measures — we do not count discrete outcomes.
  2. The formula is — it works for length, area, time, and volume.
  3. For circles, area , and the cancels when you divide.
  4. It assumes a uniform distribution: every point is equally likely.