Difficulty distribution
How the classified questions are distributed by difficulty.
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Practice Probability and Statistics - Engineering Mathematics - Naval Architecture & Marine Engineering previous year questions organised from real papers, with year-wise coverage and clear topic navigation.
Every graph below is calculated only from this selection.
Year-wise coverage for Probability and Statistics. Each bar uses a separate theme-derived color.
How the classified questions are distributed by difficulty.
MCQ, numerical, multiple-select and other formats found in these papers.
Top subjects by unique question coverage.
Top topics across the included previous year papers.
Top subtopics inside this exact selection.
Question coverage for the most populated papers. Every active PYP paper remains listed below.
Newest papers appear first. Sort by year, question coverage or name.
| Paper | Year / session | Questions in this view | Open |
|---|---|---|---|
| Mining Engineering (MN) 2026 | 2026 | 3 | View paper |
| Naval Architecture and Marine Engineering (NM) 2026 | 2026 | 1 | View paper |
| Naval Architecture & Marine Engineering (NM) 2025 | 2025 | 1 | View paper |
| Naval Architecture & Marine Engineering (NM) 2024 | 2024 | 1 | View paper |
| Naval Architecture & Marine Engineering (NM) 2023 | 2023 | 5 | View paper |
| Naval Architecture & Marine Engineering (NM) 2022 | 2022 | 2 | View paper |
Practice every matching question in batches of 20, with every available option.
To construct a wall, sand and cement are mixed in the ratio of 3:1. The cost of sand and that of cement are in the ratio of 1:2.
If the total cost of sand and cement to construct the wall is 1000 rupees, then what is the cost (in rupees) of cement used?
| Distribution type | Probability density/mass function |
|---|---|
| (P) Binomial Distribution | (1) \( f(x) = \frac{1}{\sigma\sqrt{2\pi}} \exp \left( -\frac{1}{2} \left( \frac{x-\mu}{\sigma} \right)^2 \right) , \sigma > 0 \) |
| (Q) Poisson Distribution | (2) \( f(x) = \binom{n}{x} p^x (1-p)^{n-x} , \quad x=0,1,2,...,n \) |
| (R) Normal Distribution | (3) \( f(x) = \frac{\mu^x}{x!} \exp(-\mu) , \quad x=0,1,2,... \) |
| (S) Exponential Distribution | (4) \( f(x) = \lambda \exp(-\lambda x) , \quad x>0 \) |
| x | 2 | 3 | 4 | 5 |
|---|---|---|---|---|
| y | 8 | 9 | 7 | 16 |
