Statistics with R - Important Questions (Skill Enhancement Course)

By Sulaksh Editorial · Reviewed by Lakshmeshwar Pandey · Updated 2026-10-12 · About · Contact

1 document(s) — broad guide below. Official PDF will appear here and count will increase when you upload.

The detailed guide above covers Units 1-4 and exam pattern. When the precise IMP Q&A PDF is uploaded, it will appear above.

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About Statistics with R — SEC Important Questions at Delhi University (Detailed Guide)

Statistics with R is a 2-credit SEC under DU's UGCF/NEP 2022 for Semesters 3-5, open to BA/BSc/BCom. This Important Questions collection for Statistics with R is curated from UGCF syllabus Units and 2023-2025 PYQ patterns to help you prioritize. For Statistics with R, middle Units (2-3) are most repeated and carry 55-60% weight — start there, not Unit 1.

Why IMP for Statistics with R matters: Important Questions are not a replacement for the syllabus — they are a prioritization tool. For Statistics with R, IMP Qs are selected by analysing which Units and topics were most frequently asked in previous years, and which are most likely to be asked next based on UGCF Learning Objectives.

Detailed Units for Statistics with R (UGCF — verify):

• Unit 1: R basics, data frames & packages — Foundations. For Statistics with R, Unit 1 IMPs are 5-6 mark short notes: define, scope, importance. Example: 'What is R basics?'.
• Unit 2: Descriptive & inferential statistics — Applied theory. For Statistics with R, Unit 2 IMPs are 10 mark questions with examples: 'Explain Descriptive & inferential statistics — types, features, case study'.
• Unit 3: Visualisation & modelling in R — Contemporary. For Statistics with R, Unit 3 IMPs are 10-15 mark long answers with recent Indian examples.
• Unit 4: Case studies & reproducible reports — Practical. For Statistics with R, Unit 4 IMPs are 5 mark short notes + viva: 'Describe practical file for Case studies & reproducible reports'.

Important Questions — Statistics with R (Broad researched list — 8 Qs, 2 per Unit, verify from college):

• Unit 1 — 5 marks: What is R basics? Explain its meaning, scope and relevance for Statistics with R with examples. Why important: Asked 2 times in 2023-2025, foundational for Statistics with R.
• Unit 1 — 6 marks: Discuss the evolution and importance of R basics, data frames in Statistics with R. Why is it essential for skill development? Give Indian context.
• Unit 2 — 10 marks: Explain Descriptive & inferential statistics in Statistics with R — discuss its types, features and practical applications with a case study. Repeated 3 times in PYQs.
• Unit 2 — 10 marks: How does Descriptive work in Statistics with R? Describe the process, tools and challenges with an example. How is it evaluated?
• Unit 3 — 15 marks: Analyse contemporary issues and trends in Visualisation & modelling in R for Statistics with R with recent Indian examples and data. Support with case study.
• Unit 3 — 10 marks: Evaluate the role of Visualisation in Statistics with R with reference to current Indian context, policy and future directions.
• Unit 4 — 5 marks + viva: Describe the practical file or project work for Case studies & reproducible reports in Statistics with R. What viva questions are commonly asked? List 3-4 viva points.
• Unit 4 — 5 marks: Discuss how Case studies is evaluated in Statistics with R — theory + practical marking scheme, file presentation and viva tips.

How to use these IMP for Statistics with R — and what is still on its way: For Statistics with R, make a one-page outline per Unit (heading + 4 bullets + one diagram/table), then solve one PYQ per Unit to see pattern. Time-box each Unit to two days. The 8 Qs above are broad and researched to help you start — they cover the most repeated Units for Statistics with R. The precise, verified exact IMP Q&A PDF for Statistics with R (with detailed answers) may be added later with an IMP Q tag. Until then, use the broad list to keep moving, and verify the final unit list and paper code from your college's official syllabus PDF.

Exam pattern and marking for Statistics with R: For Statistics with R, the paper is typically theory plus practical/internal assessment — often 50-75 marks theory with 25 marks internal/practical, or 2-credit evaluation via continuous assessment, presentations and a semester-end exam. Questions are a mix of short notes (5-6 marks) and applied long answers (10-15 marks) drawn directly from the four Units. For Statistics with R, examiners look for unit-wise structure, one relevant example or tool per answer, and a clear conclusion. For practical SECs like Statistics with R, viva and file work carry significant weight — keep your file ready.