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IGNOU MPC 006 Solved Assignment 2026-27 English Medium PDF Download

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IGNOU MPC 006 Solved Assignment 2026-27 English Medium PDF Download Details

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Course Code MPC 006
Course Title STATISTICS IN PSYCHOLOGY
Session July 2026 – January 2027
Medium English
Assignment Code MPC-006/ASST/TMA/July 2026-January 2027

IGNOU MPC 006 Solved Assignment 2026-27 English Medium Question Paper

MPC 006 : STATISTICS IN PSYCHOLOGY

SECTION A

Answer the following question in about 1000 words (wherever applicable) each

1. Describe linear and non-linear relationship with the help of suitable diagrams. Discuss in detail Point Biserial Correlation with suitable example.

2. Using ANOVA find out if significant difference exists between the scores obtained by the three groups of employees on job satisfaction.

Group A: 1 2 3 4 2 3 2 3 2 1

Group B: 4 3 2 2 3 3 2 2 3 3

Group C: 2 3 4 2 1 2 3 4 2 2

3. Explain the concept of Normal Curve with suitable diagram. Describe the characteristics of normal probability curve.

SECTION B

Answer the following questions in about 400 words (wherever applicable) each.

4. Explain organization of data with suitable examples.

5. Using Spearman’s Rho find out if relationship exists between the following two sets of scores.

Data 1: 2 3 2 1 4 5 6 7 2 8

Data 2: 4 5 3 2 8 7 5 9 4 9

6. With the help of Mann Whitney ‘U’ test find if significant difference exists between the scores obtained on adjustment scale by male and female adolescents.

Male Adolescents: 2 3 7 12 15 23 27 10 30

Female Adolescents: 5 4 6 14 15 26 32 11 31

7. Determine both the regression equations with the help of the scores obtained by the individuals on Test X and Test Y.

Individuals: 1 2 3 4 5

Test X: 2 6 5 2 1

Test Y: 2 3 6 4 2

8. Explain the Kruskal-Wallis ANOVA test.

SECTION C

Answer the following in about 50 words each

9. Nonparametric statistics

10. Mode

11. Quartile deviation

12. Type I and Type II errors

13. Hypothesis testing

14. Tetrachoric Correlation

15. Part Correlation

16. Goodness of Fit

17. Kurtosis

18. Regression equation

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