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IGNOU MPC-06 (July 2025 – January 2026) Assignment Questions
SECTION A
Answer the following question in about 1000 words (wherever applicable) each
1. Describe the major statistics techniques for organising the data with suitable example and diagrams.
2. Using ANOVA (Parametric test) find out if significant difference exists between the scores obtained by the three groups of employees on Work Motivation
3. Define and explain the assumptions of nonparametric statistics. Describe the advantages and disadvantages of nonparametric statistics.
SECTION B
Answer the following questions in about 400 words (wherever applicable) each
4. Discuss type I and type II error and describe steps in setting up the level of significance.
5. Using Pearson product moment correlation for the following two sets of scores
6. With the help of Mann Whitney ‘U’ test find if significant difference exists between the scores obtained on adjustment of early and late adolescents.
7. Describe multiple correlation with suitable example.
8. Compute Chi-square for the following data:
SECTION C
Answer the following in about 50 words each
9. Hypothesis testing
10. Measures of central tendency
11. Scatter diagram
12. Correlation
13. Partial correlation
14. Regression equation
15. Normal curve
16. Degree of freedom
17. Measuring skewness
18. Kruskal Wallis Analysis of Variance
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
