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Esercizi di Matematica Applicata 30063: Probability, Esercizi di Matematica Generale

Una serie di esercizi di matematica applicata dedicati alla probabilità. Vengono trattati argomenti quali spazi di campionamento, algebre di insiemi, probabilità condizionata, variabili aleatorie discrete e continue, funzioni di densità e distribuzione. Gli esercizi richiedono di calcolare algebre di insiemi, probabilità di eventi, funzioni di densità e distribuzione, covarianza e correlazione lineare.

Tipologia: Esercizi

2018/2019

Caricato il 16/05/2019

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APPLIED MATHEMATICS 30063
Review exercises
2. Probability
1. The sample space of a certain experiment is
= f1;2;3g
a) Find the algebra of the power set P() and verify it has 23= 8 elements.
b) Find the smallest algebra Acontaining E=f1;2gand verify that A$P().
c) If P(E) = 0:5, nd the other values the probability measure P:A ! Rtakes on the elements
of the algebra A.
2. Let Aand Bbe two events. If P(A)=0:6;P(B)=0:5;P(AjB) = 0:4nd
a) P(BjA);
b) P(A\B);
c) P(A[B);
d) P(AnB)(AnB=A\Bis the set-di¤erence of Aand Band consists of the elements of Athat
do not belong to B);
e) P(BnA).
3. Let A=?;; E; E be an algebra of events where with E=fa;b; cgand E=fd; eg.
a) Find .
b) Let X: !Rbe such that X(a) = 20000 ;X(d) = 40000. Find the values Xtakes on b;c
and esuch that Xis B-measurable with respect to A.
c) Suppose Xis B-measurable and P(E)=0:75. Find the probability function pand the distrib-
ution function FXof X.
4. Let Xbe a continuous random number such that
P(0 <X1) = 0:2
P(1 <X5) = 0:5
P(5 <X10) = 0:3
Suppose Xis uniformly distributed on each of the 3 intervals above.
a) Find the probability density of X.
b) Find E (X).
c) Find (X).
5. Consider the discrete random vector X=X1
X2with joint probability mass function
X2X12 4 6
10 0:1 0:2 0:3
20 0:2 0:1p
a) Find pand the marginal probability functions PX1and PX2of X1and X2.
b) Find P(X1= 4jX2= 10) and P(X14jX2= 20).
c) Find Cov(X1;X2). Are X1and X2stochastically dependent?
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APPLIED MATHEMATICS 30063

Review exercises

2. Probability

  1. The sample space of a certain experiment is

= f 1 ; 2 ; 3 g

a) Find the algebra of the power set P ( ) and verify it has 23 = 8 elements. b) Find the smallest algebra A containing E = f 1 ; 2 g and verify that A $ P ( ). c) If P (E) = 0: 5 , Önd the other values the probability measure P : A! R takes on the elements of the algebra A.

  1. Let A and B be two events. If P (A) = 0: 6 ; P (B) = 0: 5 ; P (AjB) = 0: 4 Önd

a) P (BjA); b) P (A \ B); c) P (A [ B); d) P (AnB) (AnB = A \ B is the set-di§erence of A and B and consists of the elements of A that do not belong to B); e) P (BnA).

  1. Let A =

?; ; E; E be an algebra of events where with E = fa; b; cg and E = fd; eg.

a) Find. b) Let X :! R be such that X (a) = 20000 ; X (d) = 40000. Find the values X takes on b; c and e such that X is B-measurable with respect to A. c) Suppose X is B-measurable and P (E) = 0: 75. Find the probability function p and the distrib- ution function FX of X.

  1. Let X be a continuous random number such that

P (0 < X  1) = 0: 2 P (1 < X  5) = 0: 5 P (5 < X  10) = 0: 3

Suppose X is uniformly distributed on each of the 3 intervals above.

a) Find the probability density of X. b) Find E (X). c) Find  (X).

  1. Consider the discrete random vector X =

X 1

X 2

with joint probability mass function

X 2 X 1 2 4 6

20 0 : 2 0 : 1 p

a) Find p and the marginal probability functions PX 1 and PX 2 of X 1 and X 2. b) Find P (X 1 = 4jX 2 = 10) and P (X 1  4 jX 2 = 20). c) Find Cov(X 1 ; X 2 ). Are X 1 and X 2 stochastically dependent?

d) Find the linear correlation coe¢ cient r (X 1 ; X 2 ). e) Consider Y = X 2 X^21 and Önd P (Y > 2).

  1. Let X  U [5; 15] (i.e. the continuous random number is uniformly distributed on [5; 15]).

a) Find the expected value  and the standard deviation  of X. b) Let Z = g (X) =

X 

Find the probability density fZ and the distribution function FZ of Z