IGNOU MSO 109 SOLVED ASSIGNMENT
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MSO 109: Analysis and Presentation of Data
| Title Name | IGNOU MSO 109 SOLVED ASSIGNMENT |
|---|---|
| Type | Soft Copy (E-Assignment) .pdf |
| University | IGNOU |
| Degree | MASTER DEGREE PROGRAMMES |
| Course Code | MASO |
| Course Name | MASO: Master of Arts (Sociology)(ODL) |
| Subject Code | MSO 109 |
| Subject Name | Analysis and Presentation of Data |
| Year | 2026 2027 |
| Session | - |
| Language | English Medium |
| Assignment Code | MSO 109/Assignment-1/2026 2027 |
| Product Description | Assignment of MASO (MASO: Master of Arts (Sociology)(ODL)) 2026 2027. Latest MSO 109 2026 Solved Assignment Solutions |
| Last Date of IGNOU Assignment Submission | Last Date of Submission of IGNOU BEGC-131 (BAG) 2025-26 Assignment is for January 2026 Session: 30th September, 2026 (for December 2025 Term End Exam). Semester Wise January 2025 Session: 30th March, 2026 (for June 2026 Term End Exam). July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam). |
| Format | Ready-to-Print PDF (.soft copy) |
📅 Important Submission Dates
- July 2026 Session: 31st March, 2027
- January 2027 Session: 30th September, 2027
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• Guidelines: Strictly follows 2025-26 official word limits.
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MSO 109 (July 2026 - January 2027) - ENGLISH
Indira Gandhi National Open University
MSO-109: Analysis and Presentation of Data
Tutor Marked Assignment (TMA)
Programme Code: MASO
Course Code: MSO-109
Assignment Code: MSO-109/AST/TMA/2026-2027
Maximum Marks: 100
Weightage: 30%
Answer any five questions in about 500 words each.
Marks
1. Explain the process of qualitative data formatting. How does coding help in
organizing qualitative data for analysis?
2. What do you understand by ‘measures of central tendency’. Explain the
merits and limitations of Mean, Median, and Mode.
3. What is dispersion? Discuss the importance of measures of dispersion in
statistical analysis.
4. Explain the idea of correlation in statistical analysis of data. In what way are
correlation results interpreted?
5. What is regression analysis? Discuss the relationship between correlation and
regression.
6. What is triangulation? Explain its types and importance in improving research
quality.
7. What is statistical inference? Explain the concepts of estimation and
hypothesis testing.
8. Explain the various scaling techniques used in social science research.
Outline their advantages and limitations.
9. Distinguish between nominal, ordinal, interval, and ratio scales with suitable
examples.
10. Discuss different methods of assessing reliability and validity of research
instruments.
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