MST-001 Foundation in Mathematics and 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-002 Descriptive Statistics | Quick Readable...
Rs.149
| Product Name | Cart |
|---|---|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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-002 Descriptive Statistics course is designed to equip students with a thorough understanding of the essential techniques for describing and summarizing data. This course covers topics such as measures of central tendency, measures of dispersion, graphical representation of data, and bivariate analysis. With a focus on practical applications, the course includes real-world examples to help students grasp complex statistical concepts easily. The included guess papers are curated to cover important questions frequently asked in IGNOU exams, making it an invaluable resource for exam preparation.
Benefits:
#DescriptiveStatistics #IGNOU #PGDAST #ExamPreparation #StatisticalAnalysis
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.
Chat with us