Multiplication Rule (Independent Events)

P(A∩B)=P(A) P(B)P(A \cap B) = P(A) \, P(B)
sig figs

Worked example: Two fair coins both heads → P = 0.25. Press Try an example to run it live, then adjust anything.

Enter your known values, leave one input blank, and solves for the missing one. Tap a variable’s symbol to see what it means, with a typical value. Change any unit and the answer follows.

Where Multiplication Rule (Independent Events) fits

Missing an input?
Your answer feeds

See also

Conditional Probability: Both use probability both occur and probability.General Addition Rule: Both use probability both occur and probability.General Multiplication Rule: Both use probability both occur and probability.
Here the solver did the work. Could you?

And then →

Grade 12Grade 12 Math

Test your skills in the Exam Room: new numbers every attempt. Free lessons for students, no sign-up, just pure learning.

See your Report Card
Learning zone

Multiplication Rule (Independent Events) explained

P(A)P(B)P(A∩B)

Independence means learning that A happened tells you nothing about B, and then the joint chance is a plain product: two fair coins both landing heads is 0.5 × 0.5 = 0.25. Because probabilities are fractions, multiplying shrinks them fast: a component that fails 1 time in 100 gives a five-component chain a 0.99⁵ ≈ 0.951 chance of surviving, so reliability engineers watch products, not sums. Enter each probability as a decimal from 0 to 1, or switch the unit to %.

On 18 August 1913 the roulette wheel at Monte Carlo landed on black twenty-six times running, and gamblers lost fortunes betting ever larger sums on red, convinced it was "due". The wheel had no memory: each spin remained an independent 18/37 ≈ 0.486. That is the trap in both directions: assuming independence where it does not exist is just as costly. Two mortgages defaulting are not independent when the same recession hits both borrowers, which is roughly how the models of 2007 went wrong.

Multiplication Rule (Independent Events) formula

P(A∩B)=P(A) P(B)P(A \cap B) = P(A) \, P(B)
Where
  • P(A∩B)P(A \cap B)= Probability both occur
  • P(A)P(A)= Probability of A
  • P(B)P(B)= Probability of B
Revised 30 October 2026
Cite this page

formula.expert. (2026, October 30). Multiplication Rule (Independent Events) Calculator. https://formula.expert/solvers/multiplication-rule-independent