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 1 of 7

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Q1.
The way of getting information from measuring the observation whose outcomes occurrence is on chance is called

a.

beta experiment

b.

random experiment

c.

alpha experiment

d.

gamma experiment

Discuss
Answer: (b).random experiment
Q2.
The probability of second event in the situation if the first event has been occurred is classified as

a.

series probability

b.

conditional probability

c.

joint probability

d.

dependent probability

Discuss
Answer: (b).conditional probability
Q3.
The probability which is based on the self-beliefs of the persons involved in the experiment is classified as

a.

subjective approach

b.

objective approach

c.

intuitive approach

d.

sample approach

Discuss
Answer: (a).subjective approach
Q4.
In probability theories, the events which can never occur together are classified as

a.

collectively exclusive events

b.

mutually exhaustive events

c.

mutually exclusive events

d.

collectively exhaustive events

Discuss
Answer: (c).mutually exclusive events
Q5.
The joint probability of the independent events J and K is equal to

a.

P(J) * P(K)

b.

P(J) + P(K)

c.

P(J) * P(K) + P(J-K)

d.

P(J) * P(K) - P(J * K)

Discuss
Answer: (a).P(J) * P(K)
Q6.
Consider two events X and Y, the X-bar and Y-bar represents

a.

occurrence of Y

b.

occurrence of X

c.

non-occurrence of X and Y

d.

occurrence of X and Y

Discuss
Answer: (c).non-occurrence of X and Y
Q7.
In measuring the probability of any certain event, the zero represents

a.

impossible events

b.

possible events

c.

certain event

d.

sample event

Discuss
Answer: (a).impossible events
Q8.
The number of individuals arriving at boarding counter on an airport is an example of

a.

numerical outcome

b.

non numerical outcome

c.

random outcome

d.

simple outcome

Discuss
Answer: (a).numerical outcome
Q9.
The variation in which outcomes of experiments are effected by uncontrolled factors is considered as

a.

random variation

b.

mesokurtic variation

c.

platykurtic variation

d.

mesokurtic variation

Discuss
Answer: (a).random variation
Q10.
If two events X and Y are considered as partially overlapping events then the rule of addition can be written as

a.

P(X or Y) = P(X) - P(Y) + P(X and Y)

b.

P(X or Y) = P(X) + P(Y) * P(X - Y)

c.

P(X or Y) = P(X) * P(Y) + P(X - Y)

d.

P(X or Y) = P(X) + P(Y) - P(X and Y)

Discuss
Answer: (d).P(X or Y) = P(X) + P(Y) - P(X and Y)
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