By Sulaksh Editorial · Reviewed by Lakshmeshwar Pandey · Updated · About · Contact
1 document(s) — broad guide below. Official PDF will appear here and count will increase when you upload.
Statistical Software Package is a 2-credit Skill Enhancement Course (SEC) under Delhi University's UGCF 2022, taught in 2025-26 as a 0 lecture, 0 tutorial, 2 practical (p.1 credit table). As per the official syllabus on academicaffairs.du.ac.in, the course is organised as four blocks — Unit 1 Getting started with Software: data entry, variable management, graphs/charts and descriptive stats (16 hours); Unit 2 Hypothesis Testing for Means: t-tests and ANOVA (12 hours); Unit 3 Association: chi-square, correlation (Pearson/Spearman/Kendall) and factor analysis (16 hours); and Unit 4 Regression: simple/multiple and binary logistic regression (16 hours). Software is SPSS or equivalent; focus is on managing variables, generating descriptive stats, testing means, associations, clusters and principal components (Learning Outcomes p.1). Evaluation as per University guidelines (60 hours practical). Students lose marks by pasting SPSS output without interpretation — examiners check whether you correctly chose t-test vs ANOVA vs chi-square vs correlation and explained the inference, not just the clicks. For revision, map each PYQ to its unit — middle units repeat most — and confirm your college's exact paper code before the exam, as SEC codes vary by theme (as of 12 Sept 2026).
The detailed guide above covers Units 1-4, exam pattern and preparation. When the precise IMP Q&A PDF is uploaded, it will appear above with an IMP Q tag.
Statistical Software Package 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 Statistical Software Package is curated from UGCF syllabus Units and 2023-2025 PYQ patterns to help you prioritize. For Statistical Software Package, middle Units (2-3) are most repeated and carry 55-60% weight — start there, not Unit 1.
Why IMP for Statistical Software Package matters: Important Questions are not a replacement for the syllabus — they are a prioritization tool. For Statistical Software Package, 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 Statistical Software Package (UGCF — verify):
Important Questions — Statistical Software Package (Broad researched list — 8 Qs, 2 per Unit, verify from college):
How to use these IMP for Statistical Software Package — and what is still on its way: For Statistical Software Package, 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 Statistical Software Package. The precise, verified exact IMP Q&A PDF for Statistical Software Package (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 Statistical Software Package: For Statistical Software Package, 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 Statistical Software Package, examiners look for unit-wise structure, one relevant example or tool per answer, and a clear conclusion. For practical SECs like Statistical Software Package, viva and file work carry significant weight — keep your file ready.
Not yet — this page shows a broad researched list. Check your college handout for the final version.
Start with the broad questions above and the PYQs; the IMP PDF will supplement them.