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Probability Theory: Addition Rule and Complementary Events, Study notes of Probability and Statistics

The addition rule in probability theory, which deals with finding the probability of compound events made up of two or more simple events. The document also covers the concept of complementary events and their relationship to the addition rule. It includes examples and formulas for both the intuitive addition rule and the formal addition rule.

Typology: Study notes

Pre 2010

Uploaded on 08/18/2009

koofers-user-cer
koofers-user-cer 🇺🇸

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3 3
Addition Rule
Compound Event
Any event combining two or more
simple events
Definition
Compound Event
Any event combining two or more
simple events
Notation
P(A or B) = P (event A occurs or event B
occurs or they both occur)
Definition
General Rule
When finding the probability that event A
occurs or event B occurs, find the total
number of ways A can occur and the
number of ways B can occur, but find the
total in such a way that no outcome is
counted more than once.
Compound Event
pf3
pf4
pf5
pf8
pf9

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3 3Addition Rule

Definition ™ Compound EventAny event combining two or moresimple events

™^ Compound EventAny event combining two or moresimple events ™^ NotationP(A or B) = P (event A occurs or event B

Definition occurs or they both occur)

Compound EventGeneral RuleWhen finding the probability that event Aoccurs or event B occurs, find the totalnumber of ways A can occur and thenumber of ways B can occur, but find thetotal in such a way that no outcome iscounted more than once.

Compound EventFormal Addition RuleP(A or B) = P(A) + P(B) - P(A and B)where P(A and B) denotes the probability that A and Bboth occur at the same time.

Compound EventFormal Addition RuleP(A or B) = P(A) + P(B) - P(A and B)where P(A and B) denotes the probability that A and Bboth occur at the same time.Intuitive Addition RuleTo find P(A or B), find the sum of the number of waysevent A can occur and the number of ways event B canoccur, adding in such a way that every outcome iscounted only once. P(A or B) is equal to that sum,divided by the total number of outcomes.

DefinitionEvents A and B are disjoint (or mutuallyexclusive) if they cannot both occur together.

DefinitionEvents A and B are disjoint (or mutuallyexclusive) if they cannot both occur together.Total Area = 1P(A) P(B) P(A and B)Overlapping Events

0 counted twice 6 5 214 A = Even number 8 B = Number greater^97 than 5^3

0 counted twice 6 5 214 A = Even number 8 B = Number greater^973

not disjointevents; somecounted twicethan 5

0 counted twice 6 5 214 A = Even number 89 B = Number greater 73

Overlappingevents; somecounted twicethan 5

P(A or B) = P(A) + P(B) - P(A and B) =^45 +^ -^ =^1010

6 5 0214 A = Even numberOverlappingevents; some 89 B = Number greatercounted twice 7 than 5^37 8 &^9 6 8 counted twice

Men^ Women Find the probability of randomly selecting a man or a boy. Boys^ Girls^ Totals Survived^332

Died^1360

Total^1692

Contingency Table^64 45

Men^ Women Find the probability of randomly selecting a man or a boy. Boys^ Girls^ Totals Survived^332

Died^1360

Total^1692

Contingency Table^64 45

Find the probability of randomly selecting a man or a boy.P(man or boy) =^ 1692 + 64 = 1756 = 0.790^2223

Men^ Women^ Boys^ Girls^ Totals^2223

Survived^332

Died^1360

Total^1692

Contingency Table^64 45

Find the probability of randomly selecting a man or a boy.P(man or boy) =^ 1692 + 64 = 1756 = 0.790^2223

Men^ Women^ Boys^ Girls^ Totals^2223

Survived^332

Died^1360

Total^1692

Contingency Table^64 45 2223 * Disjoint Events*

Find the probability of randomly selecting a man orsomeone who survived.P(man or survivor) =^

1692 +^ 706 -^ 332 = 2066 2223 2223 2223

Men^ Women^ Boys^

Girls^ Totals Survived^332

Died^1360

Total^1692

Contingency Table^64 45 2223 = 0.929* Overlapping Events *

Setting up a Contingency TableExample: In a test of the allergy drug Seldane, 49 of 781users experienced headaches, 49 of 665 placebo usersexperienced headaches, and 24 of 626 people in thecontrol group experienced headaches.

Setting up a Contingency TableExample: In a test of the allergy drug Seldane, 49 of 781users experienced headaches, 49 of 665 placebo usersexperienced headaches, and 24 of 626 people in thecontrol group experienced headaches.Headache^49

49 24 122 No Headache^732

616 602 1950 Totals^781 Seldane^ Placebo^ Control Group^665

Setting up a Contingency TableExample: In a test of the allergy drug Seldane, 49 of 781users experienced headaches, 49 of 665 placebo usersexperienced headaches, and 24 of 626 people in thecontrol group experienced headaches.Headache^49

49 24 122 No Headache^732

616 602 1950 Totals^781 Seldane^ Placebo^ Control Group^665 626

Complementary EventsP(A) and P(A)are^ disjoint

Complementary EventsP(A) and P(A)are^ disjointAll simple events are either in A or A.

Complementary EventsP(A) and P(A)are^ disjointAll simple events are either in A or A.P(A) + P(A) = 1

Rules of Complementary EventsP(A) + P(A) = 1P(A)= 1 - P(A)P(A) = 1 - P(A)