CA Foundation Exam > CA Foundation Questions > The classical definition of probability is ba...
Start Learning for Free
The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments into
- a)mutually exclusive and exhaustive
- b)mutually exclusive and equally likely
- c)exhaustive and equally likely
- d)mutually exclusive,exhaustive and equally likely cases
Correct answer is option 'D'. Can you explain this answer?
| FREE This question is part of | Download PDF Attempt this Test |
Most Upvoted Answer
The classical definition of probability is based on the feasibility at...
Classical Definition of Probability:
The classical definition of probability is based on the feasibility of subdividing the possible outcomes of the experiments into mutually exclusive, exhaustive, and equally likely cases. This definition is based on the assumption that all outcomes are equally likely to occur.
Mutually Exclusive:
Mutually exclusive outcomes are those that cannot occur at the same time. For example, if we toss a coin, the possible outcomes are either a head or a tail. It is impossible for both a head and a tail to occur at the same time.
Exhaustive:
Exhaustive outcomes are those that cover all possible outcomes of an experiment. For example, if we toss a coin, the possible outcomes are either a head or a tail. There are no other possible outcomes.
Equally Likely:
Equally likely outcomes are those that have the same probability of occurring. For example, if we toss a fair coin, the probability of getting a head is equal to the probability of getting a tail.
Mutually Exclusive, Exhaustive, and Equally Likely Cases:
The classical definition of probability requires that the possible outcomes of an experiment be subdivided into mutually exclusive, exhaustive, and equally likely cases. This means that:
- The outcomes must be mutually exclusive, meaning that they cannot occur at the same time.
- The outcomes must be exhaustive, meaning that they cover all possible outcomes of the experiment.
- The outcomes must be equally likely, meaning that they have the same probability of occurring.
For example, if we toss a fair coin, the possible outcomes are either a head or a tail. These outcomes are mutually exclusive, exhaustive, and equally likely. The probability of getting a head or a tail is 1/2 or 50%.
The classical definition of probability is based on the feasibility of subdividing the possible outcomes of the experiments into mutually exclusive, exhaustive, and equally likely cases. This definition is based on the assumption that all outcomes are equally likely to occur.
Mutually Exclusive:
Mutually exclusive outcomes are those that cannot occur at the same time. For example, if we toss a coin, the possible outcomes are either a head or a tail. It is impossible for both a head and a tail to occur at the same time.
Exhaustive:
Exhaustive outcomes are those that cover all possible outcomes of an experiment. For example, if we toss a coin, the possible outcomes are either a head or a tail. There are no other possible outcomes.
Equally Likely:
Equally likely outcomes are those that have the same probability of occurring. For example, if we toss a fair coin, the probability of getting a head is equal to the probability of getting a tail.
Mutually Exclusive, Exhaustive, and Equally Likely Cases:
The classical definition of probability requires that the possible outcomes of an experiment be subdivided into mutually exclusive, exhaustive, and equally likely cases. This means that:
- The outcomes must be mutually exclusive, meaning that they cannot occur at the same time.
- The outcomes must be exhaustive, meaning that they cover all possible outcomes of the experiment.
- The outcomes must be equally likely, meaning that they have the same probability of occurring.
For example, if we toss a fair coin, the possible outcomes are either a head or a tail. These outcomes are mutually exclusive, exhaustive, and equally likely. The probability of getting a head or a tail is 1/2 or 50%.
Attention CA Foundation Students!
To make sure you are not studying endlessly, EduRev has designed CA Foundation study material, with Structured Courses, Videos, & Test Series. Plus get personalized analysis, doubt solving and improvement plans to achieve a great score in CA Foundation.
|
Explore Courses for CA Foundation exam
|
|
Similar CA Foundation Doubts
Top Courses for CA FoundationView all
The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer?
Question Description
The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer?.
The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer?.
Solutions for The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? in English & in Hindi are available as part of our courses for CA Foundation.
Download more important topics, notes, lectures and mock test series for CA Foundation Exam by signing up for free.
Here you can find the meaning of The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of
The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer?, a detailed solution for The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? has been provided alongside types of The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? theory, EduRev gives you an
ample number of questions to practice The classical definition of probability is based on the feasibility at subdividing the possible outcomes of the experiments intoa)mutually exclusive and exhaustiveb)mutually exclusive and equally likelyc)exhaustive and equally likelyd)mutually exclusive,exhaustive and equally likely casesCorrect answer is option 'D'. Can you explain this answer? tests, examples and also practice CA Foundation tests.
|
|
Explore Courses for CA Foundation exam
|
|
Suggested Free Tests
Signup for Free!
Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
|
© EduRev
|
Education Revolution
|
|
Signup to see your scores
go up within 7 days!
Access 1000+ FREE Docs, Videos and Tests
Takes less than 10 seconds to signup