✅ Option c — the probability of having success in this time interval is independent of time 't' as well as earlier success
Paper
Paper 3: Quantitative Aptitude
Weightage
4-6 Marks
Key Topics
Binomial, Poisson, Normal Distribution
This chapter covers Binomial, Poisson, Normal Distribution and is part of Paper 3: Quantitative Aptitude in the CA Foundation exam.
View Official ICAI SyllabusExam Strategy Tip
This topic carries 4-6 Marks weightage. Focus on understanding core concepts rather than memorizing.
If $p$ is increased for a fixed $n$; the Binomial distribution shifts to the
The variance of a binomial distribution with parameters $n$ and $p$ is:
An example of a bi-parametric discrete probability distribution is
Probability distribution may be
The mean of the Binomial distribution $B(4, 1/3)$ is equal to
The probability that a student is not a swimmer is $1/5$ then the probability that out of five students four are swimmer is
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