MSTL-002 IGNOU Solved Assignment 2026-27

Mastering Industrial Statistics Lab (MSTL-002) for IGNOU PGDAST

MSTL-002: Industrial Statistics Lab is a vital practical course in the Post-Graduate Diploma in Applied Statistics (PGDAST) program offered by the School of Sciences (SOS). This practical curriculum translates theoretical statistical principles into operational methods. Students learn to compute, analyze, and interpret empirical data related to industrial quality control, process evaluation, time series forecasting, and reliability analysis.

This verified reference assignment for the 2026-27 academic session offers step-by-step mathematical solutions and precise interpretations for lab exercises. Designed by academic experts in alignment with current IGNOU marking guidelines, this TMA solution helps students present structured lab answers while securing the vital 30% assignment weightage in their grade card.

• Statistical Quality Control and Process Capability: Lab calculations on process variation, process capability indices computation, and constructing control charts for mean and range variables.
• Control Charts for Attributes: Practical execution and graphical interpretation of p, np, c, and u charts to analyze non-conformities and defect rates in production processes.
• Acceptance Sampling Plans: Step-by-step practical problems involving single and double sampling plans, constructing Operating Characteristic (OC) curves, and calculating Average Outgoing Quality.
• Time Series and Index Numbers: Numerical exercises focused on computing trend components, seasonal variations, and constructing consumer price and industrial production index numbers.

Frequently Asked Questions

Q: What is the weightage of the MSTL-002 practical TMA in the final evaluation?
A: The Tutor Marked Assignment for MSTL-002 carries a 30% weightage in the overall evaluation, requiring a minimum score of 40% for successful completion.

Q: Which academic session is this MSTL-002 solved assignment valid for?
A: This solution set is tailored for the 2026-27 academic session, applicable to both July 2026 and January 2027 enrollment cycles.