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 4 of 7

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Q31.
The occurrence of two events in a way that events have some connection in between is classified as

a.

compound events

b.

mutual events

c.

connected events

d.

interlinked events

Discuss
Answer: (a).compound events
Q32.
If a bag contains three fruits, 16 percent are apples, 30 percent are oranges and 20 percent some other fruit that is neither oranges nor apples then the probability of selecting an orange randomly is

a.

0.3

b.

0.45

c.

0.65

d.

0.034

Discuss
Answer: (a).0.3
Q33.
The method in which the previously calculated probabilities are revised with new probabilities is classified as

a.

updating theorem

b.

revised theorem

c.

Bayes theorem

d.

dependency theorem

Discuss
Answer: (c).Bayes theorem
Q34.
The probability of the events must lie in the limits of

a.

one to two

b.

two to three

c.

one to two

d.

zero to one

Discuss
Answer: (d).zero to one
Q35.
The event such as equal chance of heads or tails while tossing the coin is an example of

a.

numerical events

b.

equally likely events

c.

unequal events

d.

non-numerical events

Discuss
Answer: (b).equally likely events
Q36.
In a Venn diagram used to represent probabilities, the occurred events are represented by

a.

circle

b.

rectangle

c.

square

d.

triangle

Discuss
Answer: (a).circle
Q37.
If the probability of an event depends on repetitive observations that occurs in outcomes of experiment then this is classified as

a.

fixed probability

b.

non-relative probability

c.

empirical probability

d.

relative probability

Discuss
Answer: (c).empirical probability
Q38.
The measure of chance of an uncertain event in the form of numerical figures is classified as

a.

probability

b.

variability

c.

durability

d.

likelihood

Discuss
Answer: (a).probability
Q39.
For the mutually exclusive events, the formula of calculating probability as n(A) ⁄ n(S) + n(B) ⁄ n(S) is used for

a.

rule of marginal count

b.

rule of comparison

c.

rule of addition

d.

rule of division

Discuss
Answer: (c).rule of addition
Q40.
If the number of outcomes in collection are 5 and the distinct outcomes are 9 then the count value according to combinations method is

a.

4

b.

9

c.

126

d.

45

Discuss
Answer: (c).126
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