IGNOU MPC 006 Solved Assignment 2024-25 PDF Download Details
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Course Code | MPC 006 |
Course Title | STATISTICS IN PSYCHOLOGY |
Session | July 2024 – January 2025 |
Medium | NA |
Assignment Code | MPC-006/AST/TMA/2024-25 |
IGNOU MPC 006 Solved Assignment 2024-25 Question Paper
MPC 006 : STATISTICS IN PSYCHOLOGY
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:
Group A |
34 |
32 |
23 |
66 |
44 |
44 |
33 |
23 |
43 |
33 |
Group B |
26 |
34 |
23 |
13 |
34 |
76 |
43 |
35 |
57 |
34 |
Group C |
28 |
56 |
54 |
33 |
56 |
54 |
23 |
25 |
54 |
34 |
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:
Data 1 |
24 |
23 |
26 |
25 |
25 |
21 |
25 |
26 |
25 |
26 |
Data 2 |
12 |
15 |
22 |
13 |
14 |
11 |
16 |
10 |
19 |
20 |
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.
|
Scores on Achievement Motivation Scale |
Male students |
45, 32, 25, 57, 36, 42, 35, 55, 66, 65, 30, 35, 22, 27, 26 |
Female students |
36, 53, 64, 55, 52, 34, 62, 73, 61, 34, 45, 38, 36, 25, 45 |
7. Describe point-biserial correlation and phi coefficient.
8. Compute Chi-square for the following data:
Job Position |
Work Motivation Scores |
|
|
High |
Low |
Junior Managers |
10 |
15 |
Senior Managers |
10 |
10 |
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
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