Introduction to Probability MCQs

Welcome to our comprehensive collection of Multiple Choice Questions (MCQs) on Introduction to Probability, a fundamental topic in the field of Business Statistics. Whether you're preparing for competitive exams, honing your problem-solving skills, or simply looking to enhance your abilities in this field, our Introduction to Probability MCQs are designed to help you grasp the core concepts and excel in solving problems.

In this section, you'll find a wide range of Introduction to Probability mcq questions that explore various aspects of Introduction to Probability problems. Each MCQ is crafted to challenge your understanding of Introduction to Probability principles, enabling you to refine your problem-solving techniques. Whether you're a student aiming to ace Business Statistics tests, a job seeker preparing for interviews, or someone simply interested in sharpening their skills, our Introduction to Probability MCQs are your pathway to success in mastering this essential Business Statistics topic.

Note: Each of the following question comes with multiple answer choices. Select the most appropriate option and test your understanding of Introduction to Probability. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

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Introduction to Probability MCQs | Page 6 of 7

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Q51.
The previous probabilities in Bayes Theorem that are changed with the help of new available information are classified as

a.

independent probabilities

b.

posterior probabilities

c.

interior probabilities

d.

dependent probabilities

Discuss
Answer: (b).posterior probabilities
Q52.
The conditional probability of two events Y and Z written as P(Z|Y) = P(Y and Z) ⁄ P(A) shows that the events are

a.

statistically dependent events

b.

descriptive unaffected events

c.

statistically independent events

d.

statistically unaffected events

Discuss
Answer: (a).statistically dependent events
Q53.
If in an experiment the A and B are two events, then the occurrence of event A or B simultaneously is represented by

a.

A intersection B

b.

A + B

c.

A - B

d.

A union B

Discuss
Answer: (a).A intersection B
Q54.
If the number of outcomes in collection are 2 and the distinct outcomes are 4 then the count value according to permutations is

a.

2

b.

12

c.

24

d.

4

Discuss
Answer: (c).24
Q55.
The payments received by cheques or cash is an example of

a.

numerical outcome

b.

non numerical outcome

c.

random outcome

d.

simple outcome

Discuss
Answer: (b).non numerical outcome
Q56.
If two events G and H are classified as joint events then the events are represented as

a.

G * H

b.

G + H

c.

G intersection H

d.

G union H

Discuss
Answer: (c).G intersection H
Q57.
Considering the events Y and Z, the occurrence of Z and the non-occurrence of Y is represented by

a.

Y-bar union Z

b.

Z-bar union Y

c.

Y-bar intersection Z

d.

Z-bar intersection Y

Discuss
Answer: (c).Y-bar intersection Z
Q58.
The number of favorable occurrences are divided by the total number of possible occurrences to calculate

a.

probability of an event

b.

total outcomes of an event

c.

sample space of experiment

d.

none of the above

Discuss
Answer: (a).probability of an event
Q59.
The sample space for the experiment in which two coins are tossed is

a.

4

b.

8

c.

2

d.

10

Discuss
Answer: (a).4
Q60.
The type of probability approach in which the event A is the ratio explaining the number of times event A is occurred in experiments is classified as

a.

counted probability distribution

b.

relative frequency approach

c.

irrelative frequency approach

d.

fixed probability distribution

Discuss
Answer: (b).relative frequency approach
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