Texas A&M Universitymayaj/m141_Chapter7_Sec7.3_f19com… · 5. Among 500 freshmen pursuing a...

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Section 7.3 Rules of Probability Definition: Two events E and F are said to be mutually exclusive if the two events have no outcomes in common, that is E \ F = ?. Properties of Probabilities: Revisited 1. 0 P (E) 1 for any event E. 2. P (S ) = 1. 3. If E and F are mutually exclusive, then P (E [ F )= P (E)+ P (F ). 4. If E and F are any two events of an experiment, then P (E [ F )= P (E)+ P (F ) - P (E \ F ). (This should remind us of the union/addition rule from section 6.2.) 5. If E is an event of an experiment and E c denotes the complement of E, then P (E c )=1 - P (E). The reverse is also true, namely, P (E)=1 - P (E c ). (I call this the Complement Rule) 1. An experiment consists of selecting a card at random from a 52-card deck. Refer to this experiment and find the probability of the event A diamond or a king is drawn. 2. Let E and F be two events of an experiment with sample space S . Suppose P (E)=0.59, P (F )=0.38, and P (E c \ F )=0.28. Calculate the probabilities below. (a) P (E c ) (b) P (E \ F ) (c) P (E c \ F c ) (d) P (E [ F c ) - - * * * * * - - * a * - * * - = - nLS2= 52 - - NLD ) - - 13 D- ! Ts t.tt nlkt-4.pcbuky.pe D) + PCIe ) - PCDNK ) nlbnkt-1.es#z+sEz-Ez--IE--4TD - - ÷÷ " " ' ' = =o4pfI t.rs

Transcript of Texas A&M Universitymayaj/m141_Chapter7_Sec7.3_f19com… · 5. Among 500 freshmen pursuing a...

Page 1: Texas A&M Universitymayaj/m141_Chapter7_Sec7.3_f19com… · 5. Among 500 freshmen pursuing a business degree at a university, 317 are enrolled in an economics course, 214 are enrolled

Section 7.3 Rules of Probability

Definition: Two events E and F are said to bemutually exclusive if the two events have no outcomes

in common, that is E \ F = ?.

Properties of Probabilities: Revisited

1. 0 P (E) 1 for any event E.

2. P (S) = 1.

3. If E and F are mutually exclusive, then P (E [ F ) = P (E) + P (F ).

4. If E and F are any two events of an experiment, then P (E [ F ) = P (E) + P (F ) � P (E \ F ).

(This should remind us of the union/addition rule from section 6.2.)

5. If E is an event of an experiment and Ec denotes the complement of E, then P (Ec) = 1� P (E).

The reverse is also true, namely, P (E) = 1� P (Ec). (I call this the Complement Rule)

1. An experiment consists of selecting a card at random from a 52-card deck. Refer to this experiment

and find the probability of the event

A diamond or a king is drawn.

2. Let E and F be two events of an experiment with sample space S. Suppose P (E) = 0.59,

P (F ) = 0.38, and P (Ec \ F ) = 0.28. Calculate the probabilities below.

(a) P (Ec)

(b) P (E \ F )

(c) P (Ec \ F c)

(d) P (E [ F c)

-

-

* *

* *

*- -

* a *-

* *

- = -

nLS2= 52

-

-

NLD ) -

-13 D-!

Ts t.ttnlkt-4.pcbuky.pe D) + PCIe ) - PCDNK )

nlbnkt-1.es#z+sEz-Ez--IE--4TD

- -

÷÷" " ' ⇒'

=

=o4pfIt.rs

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3. Let E and F be two mutually exclusive events, and suppose P (E) = 0.6 and P (F ) = 0.1.

Compute the probabilities below.

(a) P (E \ F )

(b) P (E [ F )

(c) P (Ec)

(d) P (Ec \ F c)

(e) P (Ec [ F c)

4. Let S = {s1, s2, s3, s4, s5, s6} be the sample space associated with an experiment having the

following partial probability distribution.

Outcomes s1 s2 s3 s4 s5 s6

Probability 429

1029

229

329

229

Consider the events: A = {s1, s2, s5}, B = {s3, s5, s6}, C = {s1, s3, s4, s6}, and D = {s1, s2, s3}

Calculate the following probabilities. (Give answers as fractions.)

(a) P (s2)

(b) P (D)

(c) P (Bc)

(d) P (Ac \ B)

2 Fall 2019, Maya Johnson

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5. Among 500 freshmen pursuing a business degree at a university, 317 are enrolled in an economics

course, 214 are enrolled in a mathematics course, and 138 are enrolled in both an economics and a

mathematics course. What is the probability that a freshman selected at random from this group

is enrolled in each of the following? (Round answers to three decimal places.)

(a) an economics or a mathematics course

(b) exactly one of these two courses

(c) neither an economics course nor a mathematics course

3 Fall 2019, Maya Johnson

ncs ) NCE )

- ncm )

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-

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6. A poll was conducted among 250 residents of a certain city regarding tougher gun-control laws.

The results of the poll are shown in the table. (Round answers to three decimal places.)

Own Own Own a

Only a Only a Handgun Own

Handgun Rifle and a Rifle Neither Total

Favor Tougher Laws 0 11 0 139 150

Oppose Tougher Laws 64 4 21 0 89

No Opinion 0 0 0 11 11

Total 64 15 21 150 250

(a) If one of the participants is selected at random, what is the probability that he or she opposes

tougher gun-control laws?

(b) If one of the participants is selected at random, what is the probability that he or she owns

a handgun but not a rifle?

(c) If one of the participants is selected at random, what is the probability that he or she favors

tougher gun-control laws and does not own a handgun?

Odds In Favor Of and Odds Against If the probability of an event E is P (E) =a

b, where

this probability is a reduced fraction, then

1. The odds in favor of E occurring are

a to b� a

2. The odds against E ocurring are

b� a to a

4 Fall 2019, Maya Johnson

no )

-

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F→ O O

o → ON →

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