IGNOU MST-013 Previous Year Question Papers – Download TEE Papers
About IGNOU MST-013 – SURVEY SAMPLING AND DESIGN OF EXPERIMENTS-I
Survey sampling and experimental design form the backbone of statistical research, focusing on the systematic collection and analysis of data to draw valid inferences about populations. This course is designed for students pursuing postgraduate studies in statistics who need to master the mathematical foundations of selecting representative samples and structuring controlled experiments. It bridges theoretical probability with practical application in fields like agriculture, social sciences, and industrial quality control.
What MST-013 Covers — Key Themes for the Exam
Understanding the core pillars of the syllabus is the most effective way to navigate the Term End Examination (TEE). By identifying recurring themes in the question papers, students can prioritize high-weightage topics that test both derivation skills and numerical problem-solving abilities. A strategic approach to these themes ensures that you are prepared for the specific technical rigors that IGNOU examiners expect in a professional statistics paper.
- Simple Random Sampling (SRS) — Examiners frequently test the properties of estimators for population means and totals under both WR (With Replacement) and WOR (Without Replacement) schemes. You must be able to derive expressions for variance and show that the sample mean is an unbiased estimator, as these foundational proofs appear in almost every session to verify basic sampling comprehension.
- Stratified Random Sampling — This theme focuses on the advantages of stratification over simple random sampling, specifically regarding precision gains. Questions often require students to perform calculations for Proportional and Neyman (Optimum) allocations, comparing their variances to demonstrate why dividing a heterogeneous population into homogeneous groups reduces sampling error.
- Systematic and Cluster Sampling — The exam often contrasts these methods with SRS, requiring students to explain the efficiency of systematic sampling when the population is ordered. Cluster sampling questions usually involve single-stage designs where the intra-class correlation coefficient plays a vital role in determining the precision of the results, reflecting real-world logistical constraints in data collection.
- Basic Principles of Experimental Design — Randomization, Replication, and Local Control are the three “holy grails” tested here. Examiners look for a clear understanding of how these principles mitigate experimental error, often asking for theoretical explanations or short notes on why these steps are mandatory for any valid statistical experiment.
- Completely Randomized Design (CRD) and RCBD — The structural analysis of CRD and Randomized Block Designs is a staple of the numerical section. You will likely be asked to perform a full ANOVA (Analysis of Variance) table calculation, testing the null hypothesis against alternative hypotheses for treatment effects while ensuring you understand the linear model and its underlying assumptions.
- Latin Square Design (LSD) — This theme tests your ability to handle two-way elimination of heterogeneity. The questions usually involve the layout of the experiment, the derivation of expectations of Mean Squares, and the missing plot technique, which is a common advanced problem used to differentiate high-scoring candidates.
Mapping these themes across multiple years of past papers reveals a consistent pattern in how marks are distributed between theory and practice. By mastering these six areas, you cover approximately 80% of the recurring exam content, allowing for a more focused and less stressful revision period. These papers serve as a blueprint for the logic and depth required to satisfy the university’s academic standards.
Introduction
Preparing for the Term End Examination requires more than just reading textbooks; it demands a practical familiarity with the way questions are framed. Utilizing IGNOU MST-013 Previous Year Question Papers allows students to transition from passive learning to active exam rehearsal. By solving these papers, you can identify your weak areas in mathematical derivations and improve your speed in constructing ANOVA tables, which are often time-consuming during the actual test. It is the most reliable method to gauge the depth of knowledge required by the faculty.
The exam pattern for Survey Sampling and Design of Experiments-I typically balances rigorous mathematical proofs with complex numerical applications. Most question papers are structured to test your conceptual clarity on sampling errors before moving into the layout and analysis of experimental designs. Familiarity with the TEE papers helps in understanding the ratio of theory to numericals, ensuring you don’t spend too much time on one at the expense of the other. Reviewing these papers is essential for anyone aiming for a first-division grade in this technical course.
IGNOU MST-013 Previous Year Question Papers
| Year | June TEE | December TEE |
|---|---|---|
| 2024 | Download | Download |
| 2023 | Download | Download |
| 2022 | Download | Download |
| 2021 | Download | Download |
| 2020 | Download | Download |
| 2019 | Download | Download |
| 2018 | Download | Download |
| 2017 | Download | Download |
| 2016 | Download | Download |
| 2015 | Download | Download |
| 2014 | Download | Download |
| 2013 | Download | Download |
| 2012 | Download | Download |
| 2011 | Download | Download |
| 2010 | Download | Download |
Download MST-013 Question Papers December 2024 Onwards
IGNOU MST-013 Question Papers — December 2024
| # | Course | TEE Session | Download |
|---|---|---|---|
| 1 | MST-013 | Dec 2024 | Download |
→ Download All December 2024 Question Papers
IGNOU MST-013 Question Papers — June 2025
| # | Course | TEE Session | Download |
|---|---|---|---|
| 1 | MST-013 | June 2025 | Download |
→ Download All June 2025 Question Papers
How Past Papers Help You Score Better in TEE
Exam Pattern
The MST-013 paper usually carries 50 marks with a 2-hour duration, requiring a mix of descriptive proofs and precise numerical solutions.
Important Topics
Focus heavily on Neyman Allocation in Stratified Sampling and the statistical analysis of Randomized Block Design (RCBD).
Answer Writing
Always state your null and alternative hypotheses clearly before showing ANOVA calculations to earn full marks for methodology.
Time Management
Allot 40 minutes for the theory derivations and 80 minutes for the numerical tables to ensure all calculations are verified twice.
Important Note for Students
⚠️ Question papers for the upcoming 2026 session will be updated
here after IGNOU releases them. Always cross-reference with the latest syllabus
at ignou.ac.in. Past papers work best alongside the official IGNOU study blocks,
not as a replacement for them.
Also Read
More resources for MST-013 preparation:
FAQs – IGNOU MST-013 Previous Year Question Papers
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at ignou.ac.in.
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✔ Last updated: April 2026
