Correct Answer
✅ Option c — $^5C_4 \left(\frac{4}{5}\right)^4 \left(\frac{1}{5}\right)^1$
All Options:
- A$^5C_1 \left(\frac{1}{5}\right)^1 \left(\frac{4}{5}\right)^4$
- B$^5C_1 \left(\frac{4}{5}\right)^1 \left(\frac{1}{5}\right)^4$
- C$^5C_4 \left(\frac{4}{5}\right)^4 \left(\frac{1}{5}\right)^1$
- DNone of the above
About This Chapter: Theoretical Distributions
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.
More Questions from Theoretical Distributions
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
If mean and variance are $5$ and $3$ respectively then relation between $p$ and $q$ is:
Ready to Master Theoretical Distributions?
Practice all 201 questions with instant feedback, earn XP, track your streaks, and ace your CA Foundation exam.
Start Practicing — It's Free