IGNOU MPC 006 Solved Assignment 2024-25 PDF Download

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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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