If the occurrence or non occurrence

| March 14, 2016

Question
If the occurrence or non occurrence of one event does not affect the occurrence or non
occurrence of another event, the two events are ________________________.

collectively
exhaustive

non
interacting

mutually
exclusive

independen
t

complementary

__________________________________________________________________________

How many elementary events are in the sample space of the experiment of rolling a pair of 6faced dice?

0

6

12

36

__________________________________________________________________________
Sixty percent of all technical assistants would like to have a PC. Fifty percent of all technical
assistants would like to have MAC. Twenty percent of all technical assistants would like to have
both. If a technical assistant is randomly selected, what is the probability that she would like to
have a PC or a MAC?

0.33

1.00

1.10

0.90

0.95

__________________________________________________________________________
Belinda Bose is reviewing a newly proposed advertising campaign. Based on her 15 years
experience, she believes the campaign has a 75% chance of significantly increasing brand
name recognition of the product. This is an example of assigning probabilities using the
________________ method.

subjective
probability

relative
frequency

classical
probability

a priori probability

a posterior probability

__________________________________________________________________________
Let A be the event that a student is enrolled in an accounting course, and let S be the event
that a student is enrolled in a statistics course. It is known that 30% of all students are enrolled
in an accounting course and 40% of all students are enrolled in statistics. Included in these
numbers are 15% who are enrolled in both statistics and accounting. A student is randomly
selected, and it is found that the student is enrolled in accounting. What is the probability that
this student is also enrolled in statistics?

0.15

0.75

0.375

0.50

0.80

__________________________________________________________________________
Max Sandlin is exploring the characteristics of stock market investors. He found that sixty
percent of all investors have a net worth exceeding $1,000,000; 20% of all investors use an
online brokerage; and 10% of all investors a have net worth exceeding $1,000,000 and use an

online brokerage. An investor is selected randomly, and E is the event "net worth exceeds
$1,000,000" and O is the event "uses an online brokerage." P(O ? E) = _____________.

0.17

0.50

0.80

0.70

0.10

__________________________________________________________________________
Meagan Dubean manages a portfolio of 200 common stocks. Her staff classified the portfolio
stocks by ‘industry sector’ and ‘investment objective.’
Investment Objective Industry Sector
Electronics Airlines Healthcare Total
Growth

100

10

40

150

Income

20

20

10

50

Total

120

30

50

200

If a stock is selected randomly from Meagan’s portfolio, P (Growth) = _______.

0.50

0.83

0.67

0.75

0.90

__________________________________________________________________________

The number of different committees of 2 students that can be chosen from a group of 5
students is

20

2

5

10

1

__________________________________________________________________________

Suppose that 5% of all TVs made by some Company in 2010 are defective. If 2 of these TVs are
randomly selected what is the probability that both are defective?

0.95

0.0025

0.9025

0.0475

0.1

__________________________________________________________________________
It is known that 20% of all students in some large university are overweight, 20% exercise
regularly and 2% are overweight and exercise regularly. What is the probability that a
randomly selected student is overweight given that this student exercises regularly?

0.40

0.38

0.20

0.42

0.10

__________________________________________________________________________
An automobile dealer wishes to investigate the relation between the gender of the buyer and
type of vehicle purchased. Based on the joint probability table below that was developed from
the dealer’s records for the previous year, P (Female ? SUV) = _______.
Type of Vehicle Buyer Gender
Female Male Total
SUV
Not SUV
Total

.30

.40
.60

1.00

0.30

0.40

0.12

0.10

0.60

__________________________________________________________________________

Bayes’ rule is used to revise the initial or prior probabilities based on new information and
convert them into __________.

certaintie
s

joint probabilities

subjective
probabilities

posterior
probabilities

__________________________________________________________________________
The speed at which a jet plane can fly is an example of _________.

neither discrete nor continuous random variable

both discrete and continuous random
variable

a continuous random
variable

a discrete random
variable

a
constant

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