✅ Option c — $\frac{13}{15}$
Paper
Paper 3: Quantitative Aptitude
Weightage
5-7 Marks
Key Topics
Probability Operations, Expected Value
A logic-heavy chapter dealing with random experiments, events (mutually exclusive, exhaustive), set theory probability, conditional probability, and Bayes' Theorem. It forms the basis for Theoretical Distributions.
View Official ICAI SyllabusExam Strategy Tip
Always draw a quick Venn Diagram or tree when faced with 'At least one' or 'Only A but not B' wording. It saves you from double-counting.
According to bayee's theorem, $P(E_i / A) = \frac{P(E_i)P(A / E_i)}{\sum_{j=1}^{n} P(E_j)P(A / E_j)}$ here
When $2$ - dice are thrown simultaneously then the probability of getting at least one $5$ is
A log contains $15$ one rupee coins, $25$ two rupees coins and $10$ five rupee coins if a coin is selected at random than probability for not selecting a one rupee coin is:
What is the probability of occurring $4$ or more than $4$ accidents.No. of acc. | Frequency0 | 361 | 272 | 233 | 244 | 245 | 276 | 187 | 9
When two coins are tossed simultaneously the probability of getting at least one tail?
Two broad divisions of probability are
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