IGNOU MST-025 Previous Year Question Papers – Download TEE Papers
About IGNOU MST-025 – Categorical and Survival Analysis
Categorical and survival analysis focuses on the statistical methods used to analyze discrete data and time-to-event outcomes, essential for advanced research in biostatistics and social sciences. This course is designed for students pursuing a Master of Science in Applied Statistics, providing them with the mathematical tools to model relationships between qualitative variables and predict survival probabilities. It bridges the gap between theoretical probability distributions and practical applications in clinical trials and industrial reliability testing.
What MST-025 Covers — Key Themes for the Exam
Understanding the core themes of the Term-End Examination (TEE) is vital for students to prioritize their study efforts effectively. Since the MST-025 curriculum involves complex mathematical derivations and computational applications, analyzing the recurring patterns in these papers helps in identifying which statistical models are most favored by examiners. By focusing on these high-yield topics, candidates can transition from rote learning to a more application-based understanding that is required for passing the TEE with high marks.
- Contingency Table Analysis — Examiners frequently test the ability to perform chi-square tests for independence and homogeneity in two-way and multi-way tables. Understanding odds ratios and measures of association like Yule’s Q is critical because these form the foundation of categorical data interpretation in most past papers.
- Log-Linear Models — This theme focuses on the specification and fitting of models for Poisson and multinomial data. Candidates are often asked to interpret parameter estimates and perform goodness-of-fit tests, making it a recurring high-weightage section in the TEE papers.
- Logistic Regression — Students must master the derivation of the logit link function and the interpretation of coefficients in terms of odds. Examiners test both binary and polytomous logistic regression, often requiring students to explain how these models handle multiple categorical predictors.
- Survival Functions and Hazard Rates — A significant portion of the exam is dedicated to defining and relating the survival function, probability density function, and hazard function. Questions usually revolve around calculating these values for different distributions, which is a staple of this course.
- Non-Parametric Methods in Survival — The Kaplan-Meier (Product Limit) estimator and the Nelson-Aalen estimator are nearly always present in the exam. Examiners look for a candidate’s ability to construct survival curves from censored data and compare groups using the log-rank test.
- Parametric Survival Models — This involves the application of Exponential, Weibull, and Lognormal distributions to time-to-event data. Knowing how to use Maximum Likelihood Estimation (MLE) to find parameters for these models is a common requirement in the long-form descriptive questions.
Systematically mapping these themes across the TEE papers allows for a more strategic preparation. Many students find that while the data sets in the questions change, the underlying statistical logic and the steps required for hypothesis testing remain consistent. Focusing on these six pillars ensures a comprehensive grasp of the Categorical and Survival Analysis syllabus before the final exam day.
Introduction
Preparing for the post-graduate level statistics exams requires more than just reading the study blocks; it necessitates a deep dive into the IGNOU MST-025 Previous Year Question Papers to understand the level of mathematical rigor expected. These past papers serve as a diagnostic tool, allowing students to identify their weak areas in categorical modeling or survival probability calculations before the actual TEE. By solving these papers, learners gain the confidence needed to handle the complex numerical problems that are a hallmark of this particular course.
The exam pattern for Categorical and Survival Analysis typically involves a mix of theoretical derivations and practical numerical problems involving large data sets. By analyzing these papers, students will notice that the TEE is divided into sections that balance the conceptual understanding of log-linear models with the computational aspects of survival analysis. Regular practice with these exam papers ensures that students are familiar with the format, the distribution of marks, and the specific types of statistical tables they might need to use during the examination.
IGNOU MST-025 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-025 Question Papers December 2024 Onwards
IGNOU MST-025 Question Papers — December 2024
| # | Course | TEE Session | Download |
|---|---|---|---|
| 1 | MST-025 | Dec 2024 | Download |
→ Download All December 2024 Question Papers
IGNOU MST-025 Question Papers — June 2025
| # | Course | TEE Session | Download |
|---|---|---|---|
| 1 | MST-025 | June 2025 | Download |
→ Download All June 2025 Question Papers
How Past Papers Help You Score Better in TEE
Exam Pattern
The TEE for this course typically carries 50 marks and lasts 3 hours. It usually consists of 5 to 7 questions, where students must balance theoretical proofs with heavy numerical computations using calculators.
Important Topics
High-frequency areas include the Kaplan-Meier survival estimator, Cox proportional hazards model, and the analysis of 2×2 contingency tables using Odds Ratio and Chi-square tests for this course.
Answer Writing
For MST-025, always state the null and alternative hypotheses clearly before doing calculations. Use step-by-step mathematical derivations and provide clear interpretations of p-values in the context of the problem.
Time Management
Spend 45 minutes on short-answer theory questions, 90 minutes on the three main numerical problems, and reserve the final 45 minutes for verifying calculations and ensuring all survival curves are correctly sketched.
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-025 preparation:
FAQs – IGNOU MST-025 Previous Year Question Papers
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✔ Last updated: April 2026
