Description
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. M
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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