MST-002 Descriptive Statistics| Guess papers 
MST-003 Probability Theory | Guess papers 
MST-004 Statistical Inference 
MST-005 Statistical Techniques | Guess papers 
MSTE-001 Industrial Statistics-I | Guess papers 
MSTE-002 Industrial Statistics -II | Guess papers 
MSTE-003 Biostatistics-I | Guess Papers of IGNOU 
MSTE-004 Biostatistics -II | Guess Papers of IGNOU 
MST-001 Foundation in Mathematics and Statistics...
Rs.149
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| Category | : POST GRADUATE DIPLOMA PROGRAMMES |
| Sub Category | : Post Graduate Diploma in Applied Statistics (PGDAST) |
| Products Code | : PGDAST-MST-6.07 |
| HSN Code | : 490110 |
| Language | : English, English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 50 |
| Weight | : 199 GM |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
The MST-001 Foundation in Mathematics and Statistics course is designed to equip students with a thorough understanding of the fundamental concepts in mathematics and statistics. This course is essential for anyone pursuing a Post Graduate Diploma in Applied Statistics (PGDAST) at IGNOU. It provides a solid foundation necessary for grasping more advanced topics in applied statistics.
Benefits of Using This Book:
Using this book will significantly benefit students by enhancing their understanding of foundational concepts, which is crucial for success in advanced statistical courses and exams. It is specifically designed to help students excel in IGNOU's PGDAST exams by covering all essential topics and providing practical exam-focused content.
DISCLAIMER
The IGNOU solved assignments and guess papers provided on this platform are for reference purposes only and should not be used to engage in educational dishonesty. These materials serve as learning and study tools and are not intended for submission as original work. Users are responsible for using these materials ethically and in accordance with their educational institution's guidelines. We do not assume liability for any misuse or consequences resulting from the use of these materials. By accessing and utilizing these resources, users agree to this disclaimer.
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