MPC006 Assignment Motivator 17-18

Assignment Motivator for 1st Year June 17 and Jan 18 Batch of IGNOU MAPC students for MPC-006 Statistics in Psychology Subject SECTION-A Ans

Assignment Motivator for 1st Year June 17 and Jan 18 Batch of IGNOU MAPC students for MPC-006 Statistics in Psychology Subject

SECTION-A

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

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

2. Using ANOVA find out if significant difference exists between the scores obtained by the three groups of employees on Work Motivation.
Group A 12 12 14 43 34 45 54 34 45 65
Group B 67 45 32 32 23 23 12 43 45 56
Group C 43 45 34 33 21 11 16 27 26 32

3. Define nonparametric statistics. Discuss assumptions, 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 Spearman’s rho for the following two sets of scores.
Data 1 12 11 14 16 21 23 43 34 12 14
Data 2 67 68 70 87 76 98 78 87 78 78

3. With the help of Mann Whitney ‘U’ test find if significant difference exists between the scores obtained on attitude towards health of individuals belonging to low Socio Economic Status and high Socio Economic Status.
Low Socio Economic Status 32 34 32 34 45 45 34 65 45 34 45 34
High Socio Economic Status 67 78 76 87 76 87 68 67 78 45 56 67

4. Describe partial correlation with suitable example.

5. Compute Chi-square for the following data:
Age in Years Emotional Intelligence Scores
High Average Low
26 to 30 years 45 56 65
31 to 35 years 57 65 75
36 to 40 years 23 29 10

SECTION-C

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

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

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