Module 1, Week 2, Paper and Pencil Assignment 2
Module
1, Week 2, Paper and Pencil Assignment 2
1.
A fair, six-sided die is
rolled. Describe the sample space S. Identify each of the following
events with a subset of S and compute its probability.
a.
Event F = the outcome is
four
b.
Event A = the outcome is
an odd number
c.
Event B = the outcome is
less than five
d.
The complement of B
e.
(A | B)
f.
(B | A)
g.
![]()
h.
![]()
i.
![]()
j.
Event H = the
outcome is seven
2.
The following table describes
the distribution of a sample S of 600 individuals, organized by region
of residence and political party affiliation:
|
|
Democrat |
Republican |
Independent |
|
East |
163 |
121 |
52 |
|
West |
108 |
141 |
15 |
Let D =
the individual is a democrat, let R = the individual is a republican,
let I = the individual is an independent, let E = the individual
lives in the east, and let W = the individual lives in the west. Compute
the following probabilities:
a.
![]()
b.
![]()
c.
![]()
d.
![]()
e.
![]()
f.
![]()
g.
![]()
h.
![]()
i.
![]()
j.
![]()
k.
![]()
l.
![]()
m.
![]()
n.
![]()
3.
Let D = a
student is taking a data analytics class and let E = the student is
taking an economics class. Suppose P(D) = 0.20 and P(E)
= 0.36 and
.
a.
Are D and E
independent?
b.
Show ![]()
c.
Show ![]()
4.
Whether a customer at a
carry-out restaurant leaves a tip is a random variable. The probability that a
customer leaves a tip is 0.42. The probability that one customer leaves a tip
is independent of whether another customer leaves a tip. Let leaving a tip represent
a “success” and not leaving a tip represent a “failure.”
a.
Does this problem
describe a discrete or continuous random variable?
b.
What kind probability
distribution fits the random variable described in this problem?
c.
What is the probability
that a customer does not leave a tip?
d.
Calculate the mean and
variance of this distribution.
e.
What is the probability
that on a day with 100 customers, exactly 50 of them leave a tip?
5.
The number of pieces of
mail a household receives on a given day follows a Poisson distribution. On
average, eight pieces of mail are received each day.
a.
Does this problem
describe a discrete or continuous random variable?
b.
Calculate the mean and
variance of this distribution.
c.
What is the probability
that a household receives 10 pieces of mail on a given day?
d.
What is the probability
that a household receives 5 pieces of mail on a given day?
e.
What is the probability
that a household receives less than 3 pieces of mail on a given day?
6.
Let X = number
of miles a family travels for summer vacation. X follows a normal
distribution with a mean of 311 miles and standard deviation of 232 miles.
a.
If a family traveled
600 miles, how many standard deviations are they away from the mean?
b.
Calculate the following
probabilities:
i. ![]()
ii. ![]()
iii. ![]()
iv. ![]()
7.
Suppose the random
variable X has a mean of 30 and standard deviation of 6. Samples of 20
observations are drawn randomly from the population.
a.
Calculate the mean and
standard deviation for the random variable
.
b.
Calculate the
probability that the sample mean is between 26 and 33.
c.
Describe the central
limit theorem in words.
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