CAIIB · ABM

Theory of Probability

Chapter notes, video classes, MCQ practice tests and quick-revision one-liners for Advanced Bank Management — CAIIB.

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Q

What is the definition of probability in statistical theory?

A

Probability is a numerical measure of the likelihood that an event will occur, expressed as a value between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

Q

What is a continuous random variable in probability theory?

A

A variable taking any value within a continuous range

Q

What is a sample space in probability theory?

A

A sample space is the set of all possible outcomes of a random experiment, denoted by S or Omega, and forms the foundation for calculating probabilities of events.

Q

What is a discrete random variable in probability?

A

A variable that takes only distinct countable values

Q

What is the classical definition of probability?

A

Classical probability defines the probability of an event as the ratio of the number of favourable outcomes to the total number of equally likely outcomes in the sample space.

Q

What is the probability mass function (PMF)?

A

Function giving probability of each value of a discrete variable

Q

What is an event in the context of probability?

A

An event is a subset of the sample space, representing one or more outcomes of a random experiment for which we want to calculate the probability.

Q

What is the probability density function (PDF) used for?

A

To describe probability distribution of a continuous random variable

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