MPC006 – Statistics In Psychology – Assignment Motivator

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STATISTICS IN PSYCHOLOGY (MPC-006)
TUTOR MARKED ASSIGNMENT
(TMA)

Course Code: MPC-006
Assignment Code: MPC-006/AST/TMA/2018-19
Marks: 100

NOTE: All Questions Are Compulsory

SECTION – A

Answer the following question in about 1000 words (wherever applicable) each. 15×3=45 Marks

1. Discuss hypothesis testing with a focus on general procedure for testing a hypothesis and error in hypothesis testing.
2. Using ANOVA find out if significant difference exists between the scores obtained by the three groups of students on self concept.
Group A 34 23 32 34 54 34 22 35 38 43
Group B 12 14 45 18 23 24 26 27 32 29
Group C 23 32 34 45 23 22 21 26 32 33
3. Discuss the concept of normal curve. Explain the characteristics of normal probability curve with the help of suitable diagrams.

SECTION – B

Answer the following questions in about 400 words (wherever applicable) each. 5×5=25 Marks

4. Discuss assumption, advantages and disadvantages of nonparametric statistics.
5. Compute Pearson’s Product Moment Correlation for the following two sets of scores.
Data 1 7 8 6 5 3 5 9 16 12 12
Data 2 2 4 10 6 13 10 1 5 3 4

6. With the help of Mann Whitney ‘U’ test find if significant difference exists between the scores obtained on organizational climate scale by male and female employees in an organization.
Scores on Organisational Climate Scale
Male employees 23, 34, 45, 54, 56, 45, 45, 54, 56, 67, 32, 31, 23, 25, 29, 30
Female employee 56, 43, 34, 45, 56, 54, 32, 33, 31, 34, 32, 35, 56, 65, 43, 67
7. Describe two way ANOVA and discuss its merits and demerits.
8. Compute Chi-square for the following data:
Phases of Adolescents Achievement Motivation Scores
High Average Low
Early 23 25 23
Middle 33 34 12
Late 54 45 23

SECTION – C

Answer the following in about 50 words each                                             10×3=30 Marks

9. The median test
10. Ogive
11. Level of significance
12. Positive and negative relationship
13. Phi coefficient
14. Multiple regression
15. Outliers
16. Measuring Kurtosis
17. Wilcoxon matched pair rank test
18. Sampling error and standard error