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IGNOU MPC-06 (July 2024 – January 2025) Assignment Questions
SECTION – A
Answer the following question in about 1000 words (wherever applicable) each.
1. Explain the meaning of descriptive statistics and describe organization of data.
2. Compute ANOVA (parametric statistics) for the following data: that indicates the scores obtained by three group on employees on emotional intelligence scale:
3. Discuss divergence in normality with the help of suitable diagram and describe the factors causing divergence in the normal distribution. Discuss how divergence in normality is measured.
SECTION – B
Answer the following questions in about 400 words (wherever applicable) each.
4. Explain scales of measurement and discuss assumption of parametric statistics.
5. Using Pearson’s product moment correlation for the following data:
6. With the help of t test find if significant difference exists between the scores obtained on achievement motivation scale by male and female students.
7. Describe point-biserial correlation and phi coefficient.
8. Compute Chi-square for the following data:
SECTION – C
Answer the following in about 50 words each.
9. The sign test
10. Point estimation
11. Decision errors
12. Direction of correlation
13. Linear regression
14. Normal curve
15. Sampling and standard errors
16. Scatter plot
17. Goodness of fit
18. Kruskal – Wallis ANOVA test
IGNOU MPC-06 (July 2023 – January 2024) Assignment Questions
SECTION A
Answer the following question in about 1000 words (wherever applicable) each
1. Describe the assumptions, advantages and disadvantages of non-parametric statistics.
2. Explain the concept of normal distribution. Explain divergence from normality.
3. The scores obtained by early, middle and late adolescents on adjustment scale are given below. Compute ANOVA for the same.
SECTION B
Answer the following questions in about 400 words (wherever applicable) each
4. Explain how the data can be organised using classification and tabulation
5. Using Pearson’s product moment correlation for the following data:
6. Describe biserial and tetrachoric correlations with the help of suitable examples.
7. Compute Mann Whitney U test for the following data:
8. Compute Chi-square for the following data:
SECTION C
Answer the following in about 50 words each
9. Measures of central tendency
10. Advantages and disadvantages of descriptive statistics
11. Type I and type II errors
12. Scatter diagram
13. Part correlation
14. Assumptions underlying regression
15. Standard error
16. Interactional effect
17. Comparison between Spearman’s rho and Kendall’s tau
18. Levels of measurement
