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Answered: - If the occurrence or non occurrence of one event does not affect

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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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