MST-013 IGNOU Handwritten Assignment 2026-27

Course Scope and Academic Objectives for MST-013: Survey Sampling and Design of Experiments-I

MST-013: Survey Sampling and Design of Experiments-I is a core component of the M.Sc. (Applied Statistics) curriculum under IGNOU’s School of Sciences (SOS). This course systematically equips students with foundational and advanced techniques in statistical sampling methodologies and experimental design, critical for data-driven research in natural, physical, and life sciences. Through rigorous theoretical exploration and practical application, learners develop proficiency in selecting representative samples, minimizing bias, and optimizing experimental layouts to derive valid inferences. The curriculum ensures alignment with modern research standards, preparing students to apply these principles in real-world scientific investigations.

Key Syllabus Units and Topics

• Block-1: Simple Random Sampling and Probability Proportional to Size Sampling: This unit covers fundamental principles of simple random sampling, including sampling without replacement, stratified sampling basics, and probability proportional to size (PPS) techniques. Students analyze theoretical distributions, sampling errors, and practical implementations to ensure unbiased data collection.
• Block-2: Stratified and Systematic Samplings: The focus here is on stratified sampling methods—both proportional and non-proportional allocation—and their applications in reducing sampling variability. Systematic sampling procedures, including periodic interval selection, are examined for efficiency and accuracy in survey design.
• Block-3: Analysis of Variance (ANOVA): This block delves into the theoretical underpinnings and computational aspects of ANOVA, emphasizing single-factor and two-factor designs. Students learn to partition variance, test hypotheses, and interpret results to compare means across groups in experimental settings.
• Block-4: Design of Experiments (DOE): Advanced experimental design principles are explored, including randomized block designs, Latin squares, and factorial designs. The unit emphasizes optimizing experimental layouts to control confounding variables and enhance statistical power.

Frequently Asked Questions

Q: What is the marking scheme for the term-end examination in MST-013, and how are internal assignments weighted?
A: The term-end examination for MST-013 carries 80% weightage, while the internal assignment contributes 20%. The assignment is typically worth 20 marks, requiring precise adherence to IGNOU’s submission guidelines for full credit.

Q: Are there specific pass marks for MST-013, and how does the grading system work?
A: IGNOU follows a pass percentage of 40% for each component (exam + assignment). Grading is based on cumulative marks, with distinctions awarded for scores above 60%, first class for 50–59%, and pass for 40–49%.