ECE 313: Probability Solutions, UIUC, Fall 2003, Assignments of Statistics

The solutions to problem set 2 in the ece 313: probability with engineering applications course offered by the university of illinois, urbana-champaign, in the fall of 2003. The problems covered in this set include expanding the powers of (1 + x), understanding the concept of binomial coefficients, and calculating probabilities using the principles of set theory and venn diagrams.

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UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN
Department of Electrical and Computer Engineering
ECE 313: Probability with Engineering Applications-Fall 2003
Problem Set 2 Solution
Problems to be turned in:
1. (a) Expanding (1 + x)3and (1 + x)4:
(1 + x)3=(1+x)2(1 + x)
=(1+2x+x2)(1 + x)
=1+2x+x2+x+2x2+x3
=1+ 3

(3
1)=3
x+3

(3
2)=3
x2+x3.
(1 + x)4=1+3x+3x2+x3+x+3x2+3x3+x4
=1+ 4

(4
1)=4
x+6

(4
2)=6
x2+4

(4
3)=4
x3+x4.
(b) There are two possible answers:
(i) n
kis the coefficient of xkin the Taylor series expansion of (1 + x)n,and
(ii) n
kdenotes the number of subsets of size kfrom a set of nobjects.
Answer (ii) is the reason why n
kis called the binominal coefficient !
2. P(EF)=P(E\F)+P(F\E)=P(E)+P(F)2P(EF).
3. Since 1 P(EF)=P(E)+P(F)P(EF), P(EF )P(E)+P(F)1.
4.Axioms1and2aresatised: (i)0f(E)1, and (ii) f(S) = 1. The only thing to check is
Axiom 3. Suppose Eiare disjoint sets,
f
i=1
Ei=
i=1
f(Ei).
This is equivalent to saying that the number of times the outcome lies in
i=1 Eiis equal to the
sum over iof the number of times the outcome lies in Ei.
5. (a) Since P(AB)+P(BC)+P(AC )2P(ABC)=0.1+3P(BC)0.1=P(ABBC AC )=0.3,
P(BC)=0.1, and P(AC )=2P(BC)=0.2. The Venn diagram of the events A,B,andC
are shown below.
(b) From the Venn diagram, P(ACBCBC)=1P(ABC)=10.45 = 0.55.
(c) P(ABCCC)=P(A)P(AB AC )=0.30.25 = 0.05. Similarly, P(ACBCC)=P(B)
P(AB BC)=0.05, and P(ACBCC)=P(C)P(AC BC)=0.05.
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Download ECE 313: Probability Solutions, UIUC, Fall 2003 and more Assignments Statistics in PDF only on Docsity!

UNIVERSITY OF ILLINOIS, URBANA-CHAMPAIGN

Department of Electrical and Computer Engineering

ECE 313: Probability with Engineering Applications-Fall 2003

Problem Set 2 Solution

Problems to be turned in:

  1. (a) Expanding (1 + x)^3 and (1 + x)^4 :

(1 + x)^3 = (1 + x)^2 (1 + x) = (1 + 2x + x^2 )(1 + x) = 1 + 2x + x^2 + x + 2x^2 + x^3 = 1 + (^) ︸︷︷︸ 3 (^31 )=

x + (^) ︸︷︷︸ 3 (^32 )=

x^2 + x^3.

(1 + x)^4 = 1 + 3x + 3x^2 + x^3 + x + 3x^2 + 3x^3 + x^4 = 1 + (^) ︸︷︷︸ 4 (^41 )=

x + (^) ︸︷︷︸ 6 (^42 )=

x^2 + (^) ︸︷︷︸ 4 (^43 )=

x^3 + x^4.

(b) There are two possible answers: (i)

(n k

is the coefficient of xk^ in the Taylor series expansion of (1 + x)n, and (ii)

(n k

denotes the number of subsets of size k from a set of n objects. Answer (ii) is the reason why

(n k

is called the binominal coefficient!

  1. P (E ⊕ F ) = P (E \ F ) + P (F \ E) = P (E) + P (F ) − 2 P (EF ).
  2. Since 1 ≥ P (E ∪ F ) = P (E) + P (F ) − P (EF ), P (EF ) ≥ P (E) + P (F ) − 1.
  3. Axioms 1 and 2 are satisfied: (i) 0 ≤ f (E) ≤ 1, and (ii) f (S) = 1. The only thing to check is Axiom 3. Suppose Ei are disjoint sets,

f

i=

Ei

∑^ ∞

i=

f (Ei).

This is equivalent to saying that the number of times the outcome lies in

i=1 Ei^ is equal to the sum over i of the number of times the outcome lies in Ei.

  1. (a) Since P (AB)+P (BC)+P (AC)− 2 P (ABC) = 0.1+3P (BC)− 0 .1 = P (AB ∪BC ∪AC) = 0.3, P (BC) = 0.1, and P (AC) = 2P (BC) = 0.2. The Venn diagram of the events A, B, and C are shown below. (b) From the Venn diagram, P (AC^ BC^ BC^ ) = 1 − P (A ∪ B ∪ C) = 1 − 0 .45 = 0.55. (c) P (ABC^ CC^ ) = P (A) − P (AB ∪ AC) = 0. 3 − 0 .25 = 0.05. Similarly, P (AC^ BCC^ ) = P (B) − P (AB ∪ BC) = 0.05, and P (AC^ BC^ C) = P (C) − P (AC ∪ BC) = 0.05.

Figure 1: Venn diagram for Problem 5.