Let W be a discrete random variable and Pr(W = k) = 1/6, k = 1,
2 ,....., 6. Define
X =
{
W, if W <= 3;
1, if W >= 4;
}
and Y =
{
3, if W <= 3;
7 -W, if W >= 4;
}
(a) Find the joint probability mass function of (X, Y ) and compute
Pr(X +Y = 4).
(b) Find the correlation Cor(X, Y ). Are X and Y independent?
Explain.
1. The probability mass function of a discrete random variable X
is defined as p(x) = ax for x = 1, 2, 4, 8 (p(x) =0 for all other
values) then the value of a is?
2. Let X be a discrete random variable with Var(X) =6.0 and
E(X2) = 17.00. Then: E(X) = ?
3. If X is a binomial random variable with parameters n and p,
i.e. X ~ b(x; n, p), then the expected value of X...
LetXbe a discrete random variable with the following PMF:
P(X=x) =
0.3 for x = 1,
a for x = 2,
0.5 for x= 3,
0 otherwise
(a) Find the value of a.
(b) Find Fx(x), the CDF of X.
(c) What is the value of Fx(2)?
(d) Find E[X].
(e) FindE[X^2].
(f) Find V ar(X)
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A certain area of the eastern United States is, on average,hit
by 2 hurricanes a year. Find the probability that the area will...
1. (Memoryless property) [10]
Consider a discrete random variable X ∈ N (X ∈ N is a convention
to represent that the range of X is N). It is memoryless if
Pr{X > n + m|X > m} = Pr{X > n}, ∀m,n ∈{0,1,...}.
a) Let X ∼ G(p), 0 < p ≤ 1. Show that X is memoryless.
[2]
b) Show that if a discrete positive integer-valued random
variable X is memoryless, it must be a geometric random variable,...
The probability distribution of a discrete random variable x is
shown below.
X 0 1 2 3
P(X) 0.25 0.40 0.20 0.15
What is the standard deviation of x?
a.
0.9875
b.
3.0000
c.
0.5623
d.
0.9937
e.
0.6000
Each of the following are characteristics of the sampling
distribution of the mean except:
a.
The standard deviation of the sampling distribution of the mean
is referred to as the standard error.
b.
If the original population is not normally distributed, the
sampling distribution of the mean will also...
1. A coin is tossed 3 times. Let x be the random
discrete variable representing the number of times tails comes
up.
a) Create a sample space for the event;
b) Create a probability distribution table for the discrete
variable
x;
c) Calculate the expected value for x.
2. For the data below, representing a sample of times
(in minutes) students spend solving a certain Statistics problem,
find P35, range, Q2 and IQR.
3.0, 3.2, 4.6, 5.2 3.2, 3.5...
The discrete random variable X is the number of passengers
waiting at a bus stop. The table below shows the probability
distribution for X. What is the expected value E(X) for this
distribution?
X
0
1
2
3
Total
P(X)
.20
.40
.30
.10
1.00
Answer the following questions using
the given probability distribution.
Expected value E(X) of the number of passengers waiting at the
bus stop.
Probability that there is at least 1 passenger at the bus
stop.
Probability...
The demand for a certain weekly magazine at a newsstand is a
discrete random variable, X. The demand never exceeds 6 magazines
per week. The distribution of X is symmetric about the value of
3.
1. The table below is intended to present the distribution of
variable X. Complete the table. x 0 1 2 3 4 5 6 P(X = x) 0.05 0.10
0.20
x
0
1
2
3
4
5
P(X=x)
0.05
0.10
0.20
2. The magazines cost...
give an example of a discrete random variable X whose values are
integers and such that E(X) = infinite. Prove that E(X) = infinite
for your example. (hints: if you will be paid 2^k dollars for the
kth head when you flip a fair coin., the expected value is
infinite...) Or give other easy examples.
A discrete random variable named X has the following
pmf (probability mass function):
X
P(x)
1
0.6
3
0.2
7
0.1
11
0.1
17a) Find P(X>6)
17b) What is the probability two independent observations of X
will both equal 1?
17c) Find the population mean also known as E(X)= the expected
value of
17d) Find the population variance of X with both the “regular”
formula and “convenient”
formula
Make a table and show your work. You should get the same...