Statistics
Textbooks
Boundless Statistics
Probability
Probability Rules
Statistics Textbooks Boundless Statistics Probability Probability Rules
Statistics Textbooks Boundless Statistics Probability
Statistics Textbooks Boundless Statistics
Statistics Textbooks
Statistics
Concept Version 9
Created by Boundless

The Addition Rule

The addition rule states the probability of two events is the sum of the probability that either will happen minus the probability that both will happen.

Learning Objective

  • Calculate the probability of an event using the addition rule


Key Points

    • The addition rule is: $P(A\cup B)=P(A)+P(B)-P(A\cap B).$
    • The last term has been accounted for twice, once in $P(A)$ and once in $P(B)$, so it must be subtracted once so that it is not double-counted.
    • If $A$ and $B$ are disjoint, then $P(A\cap B)=0$, so the formula becomes $P(A \cup B)=P(A) + P(B).$

Term

  • probability

    The relative likelihood of an event happening.


Full Text

Addition Law

The addition law of probability (sometimes referred to as the addition rule or sum rule), states that the probability that $A$ or $B$ will occur is the sum of the probabilities that $A$ will happen and that $B$ will happen, minus the probability that both $A$ and $B$ will happen. The addition rule is summarized by the formula:

$\displaystyle P(A \cup B) = P(A)+P(B)-P(A \cap B)$

Consider the following example. When drawing one card out of a deck of $52$ playing cards, what is the probability of getting heart or a face card (king, queen, or jack)? Let $H$ denote drawing a heart and $F$ denote drawing a face card. Since there are $13$ hearts and a total of $12$ face cards ($3$ of each suit: spades, hearts, diamonds and clubs), but only $3$ face cards of hearts, we obtain:

$\displaystyle P(H) = \frac{13}{52}$

$\displaystyle P(F) = \frac{12}{52}$

$\displaystyle P(F \cap H) = \frac{3}{52}$

Using the addition rule, we get:

$\displaystyle \begin{aligned} P(H\cup F)&=P(H)+P(F)-P(H\cap F)\\ &=\frac { 13 }{ 52 } +\frac { 12 }{ 52 } -\frac { 3 }{ 52 } \end{aligned}$

The reason for subtracting the last term is that otherwise we would be counting the middle section twice (since $H$ and $F$ overlap). 

Addition Rule for Disjoint Events

Suppose $A$ and $B$ are disjoint, their intersection is empty. Then the probability of their intersection is zero. In symbols: $P(A \cap B) = 0$. The addition law then simplifies to:

$P(A \cup B) = P(A) + P(B) \qquad \text{when} \qquad A \cap B = \emptyset$ 

The symbol $\emptyset$ represents the empty set, which indicates that in this case $A$ and $B$ do not have any elements in common (they do not overlap).

Example:

Suppose a card is drawn from a deck of 52 playing cards: what is the probability of getting a king or a queen? Let $A$ represent the event that a king is drawn and $B$ represent the event that a queen is drawn. These two events are disjoint, since there are no kings that are also queens. Thus:

$\displaystyle \begin{aligned} P(A \cup B) &= P(A) + P(B)\\&=\frac{4}{52}+\frac{4}{52}\\&=\frac{8}{52}\\&=\frac{2}{13} \end{aligned}$

[ edit ]
Edit this content
Prev Concept
Complementary Events
The Multiplication Rule
Next Concept
Subjects
  • Accounting
  • Algebra
  • Art History
  • Biology
  • Business
  • Calculus
  • Chemistry
  • Communications
  • Economics
  • Finance
  • Management
  • Marketing
  • Microbiology
  • Physics
  • Physiology
  • Political Science
  • Psychology
  • Sociology
  • Statistics
  • U.S. History
  • World History
  • Writing

Except where noted, content and user contributions on this site are licensed under CC BY-SA 4.0 with attribution required.