MPC-006 STATISTICS IN PSYCHOLOGY Solved Assignment 2024-2025

MPC-006 STATISTICS IN PSYCHOLOGY Solved Assignment 2024-2025

TUTOR MARKED ASSIGNMENT (TMA)
Course Code: MPC-006
Assignment Code: MPC-006/AST/TMA/2024-25
Marks: 100

SECTION – A
Answer the following question in about 1000 words (wherever applicable) each
15 x 3 = 45 marks
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
5 x 5 = 25 marks
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 10 x 3 = 30 marks
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

MPC-006, MPC006, MPC 006, MPC-06, MPC06, MPC 06, MPC-6, MPC6, MPC 6,