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 2 of 7

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Q11.
If a person buys a lottery, the chance of winning a Toyota car is 60%, the chance of winning Hyundai car is 70% and the chance of winning both is 40% then chance of winning Toyota or Hyundai is

a.

0.6

b.

0.9

c.

0.8

d.

0.5

Discuss
Answer: (b).0.9
Q12.
According to combination rule, if the total number of outcomes are 'r' and distinct outcome collection is 'n' then combinations are calculated as

a.

n! ⁄ r!(n - r)!

b.

n! ⁄ r!(n + r)!

c.

r! ⁄ n!(n - r)!

d.

r! ⁄ n!(n + r)!

Discuss
Answer: (a).n! ⁄ r!(n - r)!
Q13.
The outcomes of an experiment are classified as

a.

logged events

b.

exponential results

c.

results

d.

events

Discuss
Answer: (d).events
Q14.
For a random experiment, all the possible outcomes are called

a.

numerical space

b.

event space

c.

sample space

d.

both b and c

Discuss
Answer: (d).both b and c
Q15.
The types of probabilities for independent events must includes

a.

joint events

b.

marginal events

c.

conditional events

d.

all of above

Discuss
Answer: (d).all of above
Q16.
The probability without any conditions of occurrence of an event is considered as

a.

conditional probability

b.

marginal probability

c.

non conditional probability

d.

occurrence probability

Discuss
Answer: (b).marginal probability
Q17.
The joint probability of two statistical dependent events Y and Z can be written as P(Y and Z) =

a.

P(Z + Y) * P(Y|Z)

b.

P(Y) * P(Z|Y)

c.

P(Y) * P(Z|Y) + P(Z)

d.

P(Y) * P(Z|Y) - P(Z + Y)

Discuss
Answer: (b).P(Y) * P(Z|Y)
Q18.
In a Venn diagram used to represent probabilities, the sample space of events is represented by

a.

square

b.

triangle

c.

circle

d.

rectangle

Discuss
Answer: (d).rectangle
Q19.
The marginal probability of independent events and dependent events must be

a.

same

b.

different

c.

one

d.

two

Discuss
Answer: (a).same
Q20.
Consider an event B, the non-occurrence of event B is represented by

a.

union of A

b.

complement of A

c.

intersection of A

d.

A is equal to zero

Discuss
Answer: (b).complement of A
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