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MPC-6 2025-26 SOLVED ASSIGNMENT

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STATISTICS IN PSYCHOLOGY (MPC-006)
TUTOR MARKED ASSIGNMENT (TMA)
Course Code: MPC-006
Assignment Code: MPC-006/AST/TMA/July 2025-January 2026

 

Description

STATISTICS IN PSYCHOLOGY (MPC-006)
TUTOR MARKED ASSIGNMENT (TMA)
Course Code: MPC-006
Assignment Code: MPC-006/AST/TMA/July 2025-January 2026

NOTE: All questions are compulsory. SECTION A Answer the following question in about 1000 words (wherever applicable) each 15×3=45 Marks

  1. Describe the major statistics techniques for organising the data with suitable example and diagrams.

.Using ANOVA (Parametric test) find out if significant difference exists between the scores obtained by the three groups of employees on Work Motivation.

 Group A 2 3 2 4 3 4 5 2 3 4

 Group B 4 3 2 4 3 2 4 3 2 1

 Group C 3 2 3 4 2 3 5 4 2 3

  1. Define and explain the assumptions of nonparametric statistics. Describe the advantages and disadvantages of nonparametric statistics.

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

  1. Discuss type I and type II error and describe steps in setting up the level of significance.
  2. Using Pearson product moment correlation for the following two sets of scores.

Data 1 3 4 2 1 6 7 8 9 10 5

Data 2 4 3 1 2 7 6 10 9 5 8

  1. With the help of Mann Whitney ‘U’ test find if significant difference exists between the scores obtained on adjustment of early and late adolescents.

Early Adolescents 23 12 13 15 16 17 19 21 5 6 27 32

Late Adolescents 9 11 18 20 2 50 45 42 7 3 41 28

  1. Describe multiple correlation with suitable example.
  2. Compute Chi-square for the following data:

Work Motivation Scores High Average Junior Managers 10 5 Senior Managers 6 4

SECTION C Answer the following in about 50 words each

  1. Hypothesis testing
  2. Measures of central tendency
  3. Scatter diagram
  4. Correlation
  5. Partial correlation
  6. Regression equation
  7. Normal curve
  8. Degree of freedom
  9. Measuring skewness
  10. Kruskal Wallis Analysis of Variance

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