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# Probability MBA 1st Year Semester Very Short Question Answers Study Notes

Probability MBA 1st Year Semester Very Short Question Answers Study Notes: In this post, you will learn about Probability MBA 1st Year Semester Very Short Question Answers Study Notes and Study Material Unit Wise Chapter Wise Syllabus Division Of The Content Theory Of Probability, Addition And Multiplication Law, Bays Theorem. Probability theoretical Distributions: Concept \And Application Of Binomial, Poisson And Normal Distributions.

Probability MBA 1st Year Semester Very Short Question Answers Study Notes: Page-1
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Q.4. Define mutually exclusive events and exhaustive events.

Ans. Mutually Exclusive Events: A set of events is said to be mutual if the occurrence of any other that is at most one of the events can occur. Exhaustive Events: A set of events is said to be mutually exclusive if the occurrence of events can occur.

Q.5. What is meant by actual frequency distribution?

Ans. Actual frequency distribution is also known as ‘observed frequency distribution’. It is constructed on the basis of data available or observed in statistical experiments.

Q.6. Define the term theoretical frequency distribution.

Ans. Theoretical frequency distribution is also called ‘expected or probability of model frequencies distribution as a distribution of frequencies which is not based on actual experiments or observations but is constructed through expected frequencies obtained by mathematical computation based on certain hypotheses.

Q.7. Write the four types of discrete theoretical distribution.

Ans. The four types of discrete theoretical distribution are as follows:

1. Binomial distribution,
2. Poisson distribution,
3. Negative binomial distribution,
4. Geometric distribution.

Q.8. Write the four types of a continuous probability distribution.

Ans. The four types of the continuous probability distribution are:

1. Normal distribution,
2. Student’s t-distribution,
3. Chi-square distribution,
4. F-distribution.

Q.9. Write the definition of the binomial distribution.

Ans. The binomial distribution is a discrete frequency distribution, which is based on dichotomous alternatives, le. on the basis of the probability of data of success (desired event) and failure. This distribution, in the form of a probability density function, can be expressed as follows:

• P(x) = “Cxqn-* pt
• P(r) =”Crqn-‘p

Q.10. Discuss the four assumptions of the binomial distribution.

Ans. The four assumptions of the binomial distribution are:

1. A finite number of trials,
2. Mutually exclusive outcomes,
3. Same probability in each trial,
4. All trials independent.

Q.11. Write the three general rules of binomial expansion methods.

Ans. The three general rules of binomial expansion methods are:

1. Number of terms,
2. The sequence of exponents,
3. Sum of exponents.