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!

So, are you ready to put your Introduction to Probability knowledge to the test? Let's get started with our carefully curated MCQs!

Introduction to Probability MCQs | Page 5 of 7

Discover more Topics under Business Statistics

Q41.
In probability theories, the collection of all the events possible outcomes from an experiment is classified as

a.

mutually exclusive events

b.

collectively exhaustive events

c.

collectively exclusive events

d.

mutually exhaustive events

Discuss
Answer: (b).collectively exhaustive events
Q42.
The approach in probability in which all outcomes from an experiment are equally likely to occur or are mutually exclusive is called

a.

durable approach

b.

permanent approach

c.

temporary approach

d.

classical approach

Discuss
Answer: (d).classical approach
Q43.
The events in which some points of sample are common are considered as

a.

divisional events

b.

overlapping events

c.

common events

d.

additive events

Discuss
Answer: (b).overlapping events
Q44.
If a coin is tossed one time then the probability of occurrence of heads is

a.

1⁄2

b.

1⁄1

c.

2⁄1

d.

2⁄2

Discuss
Answer: (a).1⁄2
Q45.
If a luggage bag contains two types of shirts, 40 percent are dress shirts, 45 percent are T-shirts and 30 percent are blue jeans then the probability of selecting a dress shirt in random sample is

a.

0.47

b.

0.4

c.

0.35

d.

0.3

Discuss
Answer: (b).0.4
Q46.
The conditional probability of two independent events Y and Z can be written as

a.

P(Y - Z)

b.

P(Y * Z)

c.

P(Y|Z)

d.

P(Y + Z)

Discuss
Answer: (c).P(Y|Z)
Q47.
The probability of the event A that does not occur in experiment is equal to

a.

1 - P(A)

b.

1 + P(A)

c.

1 × P(A)

d.

2 - P(A)

Discuss
Answer: (a).1 - P(A)
Q48.
The method of counting the outcomes in which the number of outcomes are determined without prior listing is classified as

a.

single experiments

b.

multiple experiments

c.

zero experiments

d.

unlisted experiments

Discuss
Answer: (b).multiple experiments
Q49.
If in an experiment the A and B are two events, then the occurrence of event B or event A or occurrence of both is represented by

a.

A - B

b.

A union B

c.

A intersection B

d.

A + B

Discuss
Answer: (b).A union B
Q50.
Considering the events Y and Z, the non-occurrence of event Z and the occurrence of event Y is represented by

a.

Y-bar union Z

b.

Y union Z-bar

c.

Y-bar intersection Z

d.

Y intersection Z-bar

Discuss
Answer: (d).Y intersection Z-bar
Page 5 of 7